种子简介

种子名称： Machine Learning & Data Science with Python, Kaggle & Pandas
文件类型： 视频
文件数目： 206个文件
文件大小： 9.01 GB
收录时间： 2023-10-10 03:09
已经下载： 3次
资源热度： 147
最近下载： 2024-12-23 11:30

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:2573df0a2b891c606621fa656140359c74749838&dn=Machine Learning & Data Science with Python, Kaggle & Pandas 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

Machine Learning & Data Science with Python, Kaggle & Pandas.torrent

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/35. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4191.71MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/35. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4188.2MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/37. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4159.82MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/36. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4133.21MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/34. First Contact with Kaggle/1. What is Kaggle.mp4129.75MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/41. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4126.88MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/34. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4122.88MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/1. Installations/1. Installing Anaconda Distribution for Windows.mp4118.3MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/41. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Project.mp4117.19MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/1. Installations/5. Installing Anaconda Distribution for Linux.mp4114.79MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/39. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4107MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/20. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4106.94MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/37. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4105.81MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/41. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4104.96MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/18. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4100.29MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/18. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp492.26MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/43. Preparation For Exploratory Data Analysis (EDA)/4. Examining Statistics of Variables.mp491.38MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp490.71MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp490.66MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/20. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm With Python Part 4.mp489.99MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp488.12MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/44. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp484.04MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/40. Details on Kaggle/1. User Page Review on Kaggle.mp481.57MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/22. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp481.46MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/44. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.mp480.4MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/37. Code Section on Kaggle/1. Examining the Code Section in Kaggle Lesson 1.mp479.55MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/41. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.mp476.53MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/20. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp476.18MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/44. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp474.77MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/40. Details on Kaggle/2. Treasure in The Kaggle.mp474.66MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/22. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp472.23MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp471.87MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/20. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm With Python Part 3.mp470.28MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp468.07MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp466.95MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp464.36MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/42. First Organization/3. Initial analysis on the dataset.mp463.98MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp463.88MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/42. First Organization/1. Required Python Libraries.mp463.57MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp460.14MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/2. NumPy Library Introduction/2. The Power of NumPy.mp459.87MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/24. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp459.39MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/47. Modelling for machine learning/4. Hyperparameter Optimization (with GridSearchCV).mp458.77MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/40. Details on Kaggle/4. What Should Be Done to Achieve Success in Kaggle.mp458.42MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp457.3MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp456.28MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp456.05MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/21. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp455.04MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp454.23MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/44. Exploratory Data Analysis (EDA) - Uni-variate Analysis/5. Examining the Missing Data According to the Analysis Result.mp453.78MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.mp452.88MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/47. Modelling for machine learning/8. Hyperparameter Optimization (with GridSearchCV).mp452.67MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/39. Other Most Used Options on Kaggle/1. Courses in Kaggle.mp452.16MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp451.61MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp449.34MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/26. Decision Tree Algorithm in Machine Learning A-Z/3. Decision Tree Algorithm with Python Part 2.mp448.97MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp448.19MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/25. Hyperparameter Optimization/2. Hyperparameter Optimization with Python.mp447.47MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/28. Support Vector Machine Algorithm in Machine Learning A-Z/4. Support Vector Machine Algorithm with Python Part 3.mp447.35MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/22. Logistic Regression Algorithm in Machine Learning A-Z/5. Logistic Regression Algorithm with Python Part 4.mp447.16MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp447.16MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp447.1MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp446.57MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/10. Element Selection Operations in DataFrame Structures/6. Element Selection with Conditional Operations in.mp446.37MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/1. Installations/3. Installing Anaconda Distribution for MacOs.mp446.34MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/43. Preparation For Exploratory Data Analysis (EDA)/1. Examining Missing Values.mp445.78MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp445.72MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/18. Evaluation Metrics in Machine Learning/3. Evaluating Performance Regression Error Metrics in Python.mp445.71MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/2. NumPy Library Introduction/1. Introduction to NumPy Library.mp445.3MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/43. Preparation For Exploratory Data Analysis (EDA)/2. Examining Unique Values.mp444.56MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.mp443.91MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/34. First Contact with Kaggle/3. Registering on Kaggle and Member Login Procedures.mp443.55MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/3. Creating NumPy Array in Python/8. Creating NumPy Array with Random() Function.mp443.3MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/14. Functions That Can Be Applied on a DataFrame/2. Examining the Data Set 1.mp442.88MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.mp442.84MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/12. Multi-Indexed DataFrame Structures/1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp442.66MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/26. Decision Tree Algorithm in Machine Learning A-Z/5. Decision Tree Algorithm with Python Part 4.mp442.49MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/28. Support Vector Machine Algorithm in Machine Learning A-Z/3. Support Vector Machine Algorithm with Python Part 2.mp441.72MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp441.7MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/47. Modelling for machine learning/3. Roc Curve and Area Under Curve (AUC).mp441.68MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/14. Functions That Can Be Applied on a DataFrame/9. Advanced Aggregation Functions Apply() Function.mp441.43MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/39. Other Most Used Options on Kaggle/3. Blog and Documentation Sections.mp440.91MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/13. Structural Concatenation Operations in Pandas DataFrame/5. Merge Pandas Dataframes Merge() Function Lesson 4.mp440.7MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/38. Discussion Section on Kaggle/1. What is Discussion on Kaggle.mp440.65MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/11. Structural Operations on Pandas DataFrame/6. Setting Index in Pandas DataFrames.mp439.7MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/22. Logistic Regression Algorithm in Machine Learning A-Z/6. Logistic Regression Algorithm with Python Part 5.mp439.36MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/8. Series Structures in the Pandas Library/1. Creating a Pandas Series with a List.mp439.2MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/15. Pivot Tables in Pandas Library/1. Examining the Data Set 3.mp439.12MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/27. Random Forest Algorithm in Machine Learning A-Z/3. Random Forest Algorithm with Pyhon Part 2.mp438.74MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/27. Random Forest Algorithm in Machine Learning A-Z/2. Random Forest Algorithm with Pyhon Part 1.mp438.59MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/4. Functions in the NumPy Library/4. Concatenating Numpy Arrays Concatenate() Function.mp438.38MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/10. Element Selection Operations in DataFrame Structures/3. Top Level Element Selection in Pandas DataFramesLesson 1.mp438.31MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/40. Details on Kaggle/3. Publishing Notebooks on Kaggle.mp438.21MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp438.07MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/32. Principal Component Analysis (PCA) in Machine Learning A-Z/1. Principal Component Analysis (PCA) Theory.mp437.95MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/14. Functions That Can Be Applied on a DataFrame/1. Loading a Dataset from the Seaborn Library.mp437.72MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/28. Support Vector Machine Algorithm in Machine Learning A-Z/5. Support Vector Machine Algorithm with Python Part 4.mp437.56MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/32. Principal Component Analysis (PCA) in Machine Learning A-Z/4. Principal Component Analysis (PCA) with Python Part 3.mp437.27MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp436.37MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.mp436.23MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.mp436.08MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/26. Decision Tree Algorithm in Machine Learning A-Z/1. Decision Tree Algorithm Theory.mp435.76MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/4. Functions in the NumPy Library/6. Splitting Two-Dimensional Numpy Arrays Split(),.mp435.72MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/16. File Operations in Pandas Library/4. Outputting as an CSV Extension.mp435.71MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp435.62MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/28. Support Vector Machine Algorithm in Machine Learning A-Z/2. Support Vector Machine Algorithm with Python Part 1.mp435.56MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/31. Hierarchical Clustering Algorithm in machine learning data science/2. Hierarchical Clustering Algorithm with Python Part 1.mp435.51MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp435.46MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/5. Indexing, Slicing, and Assigning NumPy Arrays/5. Assigning Value to Two-Dimensional Array.mp435.41MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.mp435.19MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/24. K Nearest Neighbors Algorithm in Machine Learning A-Z/2. K Nearest Neighbors Algorithm with Python Part 1.mp435.05MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.mp434.87MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/22. Logistic Regression Algorithm in Machine Learning A-Z/4. Logistic Regression Algorithm with Python Part 3.mp434.78MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/23. K-fold Cross-Validation in Machine Learning A-Z/2. K-Fold Cross-Validation with Python.mp434.66MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/16. File Operations in Pandas Library/1. Accessing and Making Files Available.mp434.62MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/11. Structural Operations on Pandas DataFrame/4. Dropping Null Values Dropna() Function.mp434.53MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/5. Indexing, Slicing, and Assigning NumPy Arrays/3. Slicing Two-Dimensional Numpy Arrays.mp434.27MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/20. Linear Regression Algorithm in Machine Learning A-Z/1. Linear Regression Algorithm Theory in Machine Learning A-Z.mp434.06MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/7. Pandas Library Introduction/1. Introduction to Pandas Library.mp433.93MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/11. Structural Operations on Pandas DataFrame/1. Adding Columns to Pandas Data Frames.mp433.58MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/25. Hyperparameter Optimization/1. Hyperparameter Optimization Theory.mp433.15MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/26. Decision Tree Algorithm in Machine Learning A-Z/6. Decision Tree Algorithm with Python Part 5.mp432.68MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/6. Operations in Numpy Library/3. Statistical Operations in Numpy.mp431.98MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/10. Element Selection Operations in DataFrame Structures/2. Element Selection Operations in Pandas DataFrames Lesson 2.mp431.83MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/19. Supervised Learning with Machine Learning/1. What is Supervised Learning in Machine Learning.mp431.69MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/26. Decision Tree Algorithm in Machine Learning A-Z/2. Decision Tree Algorithm with Python Part 1.mp431.54MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/10. Element Selection Operations in DataFrame Structures/4. Top Level Element Selection in Pandas DataFramesLesson 2.mp431.42MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/24. K Nearest Neighbors Algorithm in Machine Learning A-Z/4. K Nearest Neighbors Algorithm with Python Part 3.mp431.39MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/12. Multi-Indexed DataFrame Structures/3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp431.28MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/13. Structural Concatenation Operations in Pandas DataFrame/3. Merge Pandas Dataframes Merge() Function Lesson 2.mp430.52MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/47. Modelling for machine learning/2. Cross Validation.mp430.21MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/30. K Means Clustering Algorithm in Machine Learning A-Z/2. K Means Clustering Algorithm with Python Part 1.mp429.94MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/8. Series Structures in the Pandas Library/7. Indexing and Slicing Pandas Series.mp429.91MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/10. Element Selection Operations in DataFrame Structures/1. Element Selection Operations in Pandas DataFrames Lesson 1.mp429.88MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/47. Modelling for machine learning/7. Random Forest Algorithm.mp429.78MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.mp429.76MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/30. K Means Clustering Algorithm in Machine Learning A-Z/3. K Means Clustering Algorithm with Python Part 2.mp429.65MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/3. Creating NumPy Array in Python/1. Creating NumPy Array with The Array() Function.mp429.49MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/47. Modelling for machine learning/1. Logistic Regression.mp429.34MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/14. Functions That Can Be Applied on a DataFrame/6. Advanced Aggregation Functions Aggregate() Function.mp429.23MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/30. K Means Clustering Algorithm in Machine Learning A-Z/5. K Means Clustering Algorithm with Python Part 4.mp429.03MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/31. Hierarchical Clustering Algorithm in machine learning data science/3. Hierarchical Clustering Algorithm with Python Part 2.mp428.9MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/24. K Nearest Neighbors Algorithm in Machine Learning A-Z/1. K Nearest Neighbors Algorithm Theory.mp428.67MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/48. Conclusion/1. Project Conclusion and Sharing.mp428.65MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/31. Hierarchical Clustering Algorithm in machine learning data science/1. Hierarchical Clustering Algorithm Theory.mp428.57MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp428.36MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/22. Logistic Regression Algorithm in Machine Learning A-Z/1. What is Logistic Regression Algorithm in Machine Learning.mp427.84MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/30. K Means Clustering Algorithm in Machine Learning A-Z/4. K Means Clustering Algorithm with Python Part 3.mp427.76MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/17. First Contact with Machine Learning/1. What is Machine Learning.mp427.58MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.mp426.82MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/5. Indexing, Slicing, and Assigning NumPy Arrays/1. Indexing Numpy Arrays.mp426.6MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/4. Functions in the NumPy Library/1. Reshaping a NumPy Array Reshape() Function.mp426.15MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/32. Principal Component Analysis (PCA) in Machine Learning A-Z/2. Principal Component Analysis (PCA) with Python Part 1.mp426.02MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/9. DataFrame Structures in Pandas Library/4. Examining the Properties of Pandas DataFrames.mp425.95MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/47. Modelling for machine learning/5. Decision Tree Algorithm.mp425.7MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.mp425.2MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/12. Multi-Indexed DataFrame Structures/2. Element Selection in Multi-Indexed DataFrames.mp424.59MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/47. Modelling for machine learning/6. Support Vector Machine Algorithm.mp424.5MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/14. Functions That Can Be Applied on a DataFrame/7. Advanced Aggregation Functions Filter() Function.mp424.47MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/6. Operations in Numpy Library/4. Solving Second-Degree Equations with NumPy.mp424.2MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp424.12MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.mp424.09MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/3. Creating NumPy Array in Python/2. Creating NumPy Array with Zeros() Function.mp424.06MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.mp424MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/33. Recommender System Algorithm in Machine Learning A-Z/1. What is the Recommender System Part 1.mp423.02MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/27. Random Forest Algorithm in Machine Learning A-Z/1. Random Forest Algorithm Theory.mp422.89MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/9. DataFrame Structures in Pandas Library/1. Creating Pandas DataFrame with List.mp422.56MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/5. Indexing, Slicing, and Assigning NumPy Arrays/2. Slicing One-Dimensional Numpy Arrays.mp422.29MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/10. Element Selection Operations in DataFrame Structures/5. Top Level Element Selection in Pandas DataFramesLesson 3.mp422.08MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/3. Creating NumPy Array in Python/9. Properties of NumPy Array.mp422.01MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/28. Support Vector Machine Algorithm in Machine Learning A-Z/1. Support Vector Machine Algorithm Theory.mp421.84MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/16. File Operations in Pandas Library/3. Data Entry with Excel Files.mp421.83MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/6. Operations in Numpy Library/1. Operations with Comparison Operators.mp421.17MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/4. Functions in the NumPy Library/5. Splitting One-Dimensional Numpy Arrays The Split.mp420.91MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/5. Indexing, Slicing, and Assigning NumPy Arrays/6. Fancy Indexing of One-Dimensional Arrrays.mp420.48MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/18. Evaluation Metrics in Machine Learning/1. Classification vs Regression in Machine Learning.mp419.91MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/16. File Operations in Pandas Library/5. Outputting as an Excel File.mp419.76MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/44. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.mp419.73MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/8. Series Structures in the Pandas Library/4. Object Types in Series.mp419.55MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/8. Series Structures in the Pandas Library/5. Examining the Primary Features of the Pandas Seri.mp418.93MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/8. Series Structures in the Pandas Library/2. Creating a Pandas Series with a Dictionary.mp418.29MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/5. Indexing, Slicing, and Assigning NumPy Arrays/4. Assigning Value to One-Dimensional Arrays.mp418.2MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/33. Recommender System Algorithm in Machine Learning A-Z/2. What is the Recommender System Part 2.mp417.96MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/23. K-fold Cross-Validation in Machine Learning A-Z/1. K-Fold Cross-Validation Theory.mp417.46MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/30. K Means Clustering Algorithm in Machine Learning A-Z/1. K Means Clustering Algorithm Theory.mp417.14MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/4. Functions in the NumPy Library/7. Sorting Numpy Arrays Sort() Function.mp417.04MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/29. Unsupervised Learning with Machine Learning/1. Unsupervised Learning Overview.mp416.92MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/5. Indexing, Slicing, and Assigning NumPy Arrays/9. Combining Fancy Index with Normal Slicing.mp416.46MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/3. Creating NumPy Array in Python/3. Creating NumPy Array with Ones() Function.mp415.84MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/43. Preparation For Exploratory Data Analysis (EDA)/3. Separating variables (Numeric or Categorical).mp415.84MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/9. DataFrame Structures in Pandas Library/3. Creating Pandas DataFrame with Dictionary.mp415.83MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/11. Structural Operations on Pandas DataFrame/2. Removing Rows and Columns from Pandas Data frames.mp415.57MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/4. Functions in the NumPy Library/2. Identifying the Largest Element of a Numpy Array.mp415.14MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/26. Decision Tree Algorithm in Machine Learning A-Z/4. Decision Tree Algorithm with Python Part 3.mp414.71MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/17. First Contact with Machine Learning/2. Machine Learning Terminology.mp414.04MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/5. Indexing, Slicing, and Assigning NumPy Arrays/8. Combining Fancy Index with Normal Indexing.mp412.65MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/3. Creating NumPy Array in Python/6. Creating NumPy Array with Eye() Function.mp412.57MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/9. DataFrame Structures in Pandas Library/2. Creating Pandas DataFrame with NumPy Array.mp412.1MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/3. Creating NumPy Array in Python/5. Creating NumPy Array with Arange() Function.mp412.09MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/8. Series Structures in the Pandas Library/3. Creating Pandas Series with NumPy Array.mp411.96MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/46. Preparation for Modelling in Machine Learning/10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp411.46MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/3. Creating NumPy Array in Python/4. Creating NumPy Array with Full() Function.mp411.19MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/4. Functions in the NumPy Library/3. Detecting Least Element of Numpy Array Min(), Ar.mp410.19MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/42. First Organization/2. Loading the Dataset.mp49.99MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/32. Principal Component Analysis (PCA) in Machine Learning A-Z/3. Principal Component Analysis (PCA) with Python Part 2.mp48.43MB

[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas/3. Creating NumPy Array in Python/7. Creating NumPy Array with Linspace() Function.mp47.34MB