种子简介

种子名称： [FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp
文件类型： 视频
文件数目： 152个文件
文件大小： 4.81 GB
收录时间： 2020-9-23 06:35
已经下载： 3次
资源热度： 155
最近下载： 2024-11-11 05:01

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:c4b4ce31ca76781ca65cd6fd6dcde4651b867261&dn=[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp 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

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp.torrent

1. Course Introduction/1. Introduction to the Course.mp429.04MB

1. Course Introduction/2. Course Help and Welcome.mp48.25MB

10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp431.35MB

10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp45.17MB

10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp428.6MB

11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp412.51MB

11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp451.15MB

12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp41.94MB

12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp446.15MB

12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp419.2MB

12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp411.15MB

12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp427.63MB

13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp43.98MB

13. Data Capstone Project/2. 911 Calls Project Overview.mp48.58MB

13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp439.79MB

13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp449.79MB

13. Data Capstone Project/6. Finance Data Project Overview.mp412.21MB

13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp447.26MB

13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp445.71MB

13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp416.56MB

14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.mp47.2MB

14. Introduction to Machine Learning/3. Supervised Learning Overview.mp440.04MB

14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp482.71MB

14. Introduction to Machine Learning/5. Evaluating Performance - Regression Error Metrics.mp423.69MB

14. Introduction to Machine Learning/6. Machine Learning with Python.mp416.79MB

15. Linear Regression/1. Linear Regression Theory.mp48.56MB

15. Linear Regression/3. Linear Regression with Python - Part 1.mp443.31MB

15. Linear Regression/4. Linear Regression with Python - Part 2.mp416.05MB

15. Linear Regression/5. Linear Regression Project Overview.mp410.79MB

15. Linear Regression/6. Linear Regression Project Solution.mp445.39MB

16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp411.6MB

17. Logistic Regression/1. Logistic Regression Theory.mp421.01MB

17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp441.41MB

17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp434.21MB

17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp416.95MB

17. Logistic Regression/5. Logistic Regression Project Overview.mp45.31MB

17. Logistic Regression/6. Logistic Regression Project Solutions.mp430.2MB

18. K Nearest Neighbors/1. KNN Theory.mp49.91MB

18. K Nearest Neighbors/2. KNN with Python.mp445.96MB

18. K Nearest Neighbors/3. KNN Project Overview.mp44.98MB

18. K Nearest Neighbors/4. KNN Project Solutions.mp452.66MB

19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp412.06MB

19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp440.09MB

19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp411.96MB

19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp430.86MB

19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp426.56MB

2. Environment Set-Up/1. Python Environment Setup.mp476.35MB

20. Support Vector Machines/1. SVM Theory.mp48.72MB

20. Support Vector Machines/2. Support Vector Machines with Python.mp447.45MB

20. Support Vector Machines/3. SVM Project Overview.mp48.59MB

20. Support Vector Machines/4. SVM Project Solutions.mp428.13MB

21. K Means Clustering/1. K Means Algorithm Theory.mp49.61MB

21. K Means Clustering/2. K Means with Python.mp429.96MB

21. K Means Clustering/3. K Means Project Overview.mp49.2MB

21. K Means Clustering/4. K Means Project Solutions.mp447.12MB

22. Principal Component Analysis/1. Principal Component Analysis.mp46.21MB

22. Principal Component Analysis/2. PCA with Python.mp443.24MB

23. Recommender Systems/1. Recommender Systems.mp47.88MB

23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp435.52MB

23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp434.45MB

24. Natural Language Processing/1. Natural Language Processing Theory.mp48.87MB

24. Natural Language Processing/2. NLP with Python - Part 1.mp440.16MB

24. Natural Language Processing/3. NLP with Python - Part 2.mp441.91MB

24. Natural Language Processing/4. NLP with Python - Part 3.mp437.67MB

24. Natural Language Processing/5. NLP Project Overview.mp46.67MB

24. Natural Language Processing/6. NLP Project Solutions.mp448.05MB

25. Neural Nets and Deep Learning/10. Backpropagation.mp457.95MB

25. Neural Nets and Deep Learning/11. TensorFlow vs Keras.mp410.45MB

25. Neural Nets and Deep Learning/12. TF Syntax Basics - Part One - Preparing the Data.mp450.34MB

25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp484.31MB

25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp464.78MB

25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4136.96MB

25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp476.2MB

25. Neural Nets and Deep Learning/17. TF Regression Code Along - Data Preprocessing and Creating a Model.mp446.99MB

25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp468.93MB

25. Neural Nets and Deep Learning/19. TF Classification Code Along - EDA and Preprocessing.mp456.21MB

25. Neural Nets and Deep Learning/2. Welcome to the Deep Learning Section!.mp44.9MB

25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4111.33MB

25. Neural Nets and Deep Learning/21. TensorFlow 2.0 Project Options Overview.mp47.85MB

25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp480.53MB

25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4143.62MB

25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp496.81MB

25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp485.37MB

25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4124.94MB

25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp423.97MB

25. Neural Nets and Deep Learning/28. Keras Project Solutions - Creating and Training a Model.mp429.74MB

25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp463.12MB

25. Neural Nets and Deep Learning/3. Introduction to Artificial Neural Networks (ANN).mp49.66MB

25. Neural Nets and Deep Learning/30. Tensorboard.mp4144.17MB

25. Neural Nets and Deep Learning/5. Perceptron Model.mp448MB

25. Neural Nets and Deep Learning/6. Neural Networks.mp435.92MB

25. Neural Nets and Deep Learning/7. Activation Functions.mp462.58MB

25. Neural Nets and Deep Learning/8. Multi-Class Classification Considerations.mp446.05MB

25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp475.98MB

26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp45.24MB

26. Big Data and Spark with Python/10. Lambda Expressions Review.mp49.32MB

26. Big Data and Spark with Python/11. Introduction to Spark and Python.mp415.74MB

26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp455.68MB

26. Big Data and Spark with Python/2. Big Data Overview.mp49.96MB

26. Big Data and Spark with Python/3. Spark Overview.mp415.69MB

26. Big Data and Spark with Python/5. AWS Account Set-Up.mp410.88MB

26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp462.98MB

26. Big Data and Spark with Python/8. SSH with Mac or Linux.mp49.14MB

26. Big Data and Spark with Python/9. PySpark Setup.mp460.39MB

3. Jupyter Overview/2. Jupyter Notebooks.mp431.98MB

3. Jupyter Overview/3. Optional Virtual Environments.mp418.94MB

4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp43.95MB

4. Python Crash Course/2. Introduction to Python Crash Course.mp42.66MB

4. Python Crash Course/3. Python Crash Course - Part 1.mp435.78MB

4. Python Crash Course/4. Python Crash Course - Part 2.mp428.87MB

4. Python Crash Course/5. Python Crash Course - Part 3.mp431.75MB

4. Python Crash Course/6. Python Crash Course - Part 4.mp429.26MB

4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp49.39MB

4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp427.24MB

5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp42.47MB

5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp44.15MB

5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp433.44MB

5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp437.3MB

5. Python for Data Analysis - NumPy/6. Numpy Operations.mp425.46MB

5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp49.77MB

5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp438.27MB

6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp43.26MB

6. Python for Data Analysis - Pandas/10. Operations.mp424.12MB

6. Python for Data Analysis - Pandas/11. Data Input and Output.mp436.62MB

6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp43.18MB

6. Python for Data Analysis - Pandas/3. Series.mp420.3MB

6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp439.77MB

6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp442.02MB

6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp420.85MB

6. Python for Data Analysis - Pandas/7. Missing Data.mp412.14MB

6. Python for Data Analysis - Pandas/8. Groupby.mp414.77MB

6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp426.15MB

7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.mp46.79MB

7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp442.69MB

7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.mp47.4MB

7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp443.07MB

8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp45.19MB

8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.mp412.63MB

8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.mp436.17MB

8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.mp431.56MB

8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp427.27MB

8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp45.86MB

8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp427.73MB

9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp49.02MB

9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp451.4MB

9. Python for Data Visualization - Seaborn/3. Categorical Plots.mp438.5MB

9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp422.36MB

9. Python for Data Visualization - Seaborn/5. Grids.mp419.88MB

9. Python for Data Visualization - Seaborn/6. Regression Plots.mp415.46MB

9. Python for Data Visualization - Seaborn/7. Style and Color.mp418.99MB

9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.mp46.64MB

9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp420.04MB