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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： 5.43 GB
收录时间： 2022-9-24 21:53
已经下载： 3次
资源热度： 212
最近下载： 2024-11-22 17:11

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

25. Neural Nets and Deep Learning/31. Tensorboard.mp4144.18MB

1. Course Introduction/1. Introduction to the Course.mp443.01MB

1. Course Introduction/2. Course Help and Welcome.mp422.14MB

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

3. Jupyter Overview/2. Jupyter Notebooks.mp437.76MB

3. Jupyter Overview/3. Optional Virtual Environments.mp421.79MB

4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp410.7MB

4. Python Crash Course/2. Introduction to Python Crash Course.mp43.04MB

4. Python Crash Course/3. Python Crash Course - Part 1.mp440.15MB

4. Python Crash Course/4. Python Crash Course - Part 2.mp432.21MB

4. Python Crash Course/5. Python Crash Course - Part 3.mp435.76MB

4. Python Crash Course/6. Python Crash Course - Part 4.mp432.56MB

4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp412.24MB

4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp434.41MB

5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp46.99MB

5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp44.73MB

5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp438.13MB

5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp442.25MB

5. Python for Data Analysis - NumPy/6. Numpy Operations.mp430.1MB

5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp412.22MB

5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp446.24MB

6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp49.13MB

6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp43.53MB

6. Python for Data Analysis - Pandas/3. Series.mp422.69MB

6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp445.61MB

6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp449.87MB

6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp424.3MB

6. Python for Data Analysis - Pandas/7. Missing Data.mp413.69MB

6. Python for Data Analysis - Pandas/8. Groupby.mp416.7MB

6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp430.38MB

6. Python for Data Analysis - Pandas/10. Operations.mp427.35MB

6. Python for Data Analysis - Pandas/11. Data Input and Output.mp444.49MB

7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.mp48.31MB

7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp451.79MB

7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.mp48.79MB

7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp452.02MB

8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp414.25MB

8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.mp416.34MB

8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.mp441.63MB

8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.mp435.46MB

8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp431.9MB

8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp47.72MB

8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp432.8MB

9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp411.59MB

9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp461.74MB

9. Python for Data Visualization - Seaborn/3. Categorical Plots.mp444.38MB

9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp425.41MB

9. Python for Data Visualization - Seaborn/5. Grids.mp423.94MB

9. Python for Data Visualization - Seaborn/6. Regression Plots.mp418.03MB

9. Python for Data Visualization - Seaborn/7. Style and Color.mp422.69MB

9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.mp48.25MB

9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp424.23MB

10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp436.88MB

10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp46.56MB

10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp435.91MB

11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp415.63MB

11. Python for Data Visualization - Plotly and Cufflinks/3. Plotly and Cufflinks.mp462.6MB

12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp42.15MB

12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp454.96MB

12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp424.42MB

12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp412.87MB

12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp433.46MB

13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp410.98MB

13. Data Capstone Project/2. 911 Calls Project Overview.mp411.45MB

13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp449.16MB

13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp458.83MB

13. Data Capstone Project/6. Finance Data Project Overview.mp416.38MB

13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp460.46MB

13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp455.85MB

13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp419.92MB

14. Introduction to Machine Learning/2. Welcome to the Machine Learning Section!.mp419.51MB

14. Introduction to Machine Learning/3. Supervised Learning Overview.mp440.05MB

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.mp418.79MB

15. Linear Regression/1. Linear Regression Theory.mp49.9MB

15. Linear Regression/3. Linear Regression with Python - Part 1.mp452.3MB

15. Linear Regression/4. Linear Regression with Python - Part 2.mp419.27MB

15. Linear Regression/5. Linear Regression Project Overview.mp414.2MB

15. Linear Regression/6. Linear Regression Project Solution.mp456.46MB

16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp412.94MB

17. Logistic Regression/1. Logistic Regression Theory.mp423.54MB

17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp449.04MB

17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp438.83MB

17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp420.02MB

17. Logistic Regression/5. Logistic Regression Project Overview.mp46.66MB

17. Logistic Regression/6. Logistic Regression Project Solutions.mp436.69MB

18. K Nearest Neighbors/1. KNN Theory.mp411.17MB

18. K Nearest Neighbors/2. KNN with Python.mp454.68MB

18. K Nearest Neighbors/3. KNN Project Overview.mp47.11MB

18. K Nearest Neighbors/4. KNN Project Solutions.mp470.85MB

19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp413.49MB

19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp449.09MB

19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp415.43MB

19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp436.72MB

19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp432.3MB

20. Support Vector Machines/1. SVM Theory.mp49.9MB

20. Support Vector Machines/2. Support Vector Machines with Python.mp456.15MB

20. Support Vector Machines/3. SVM Project Overview.mp411.18MB

20. Support Vector Machines/4. SVM Project Solutions.mp433.57MB

21. K Means Clustering/1. K Means Algorithm Theory.mp410.99MB

21. K Means Clustering/2. K Means with Python.mp434.62MB

21. K Means Clustering/3. K Means Project Overview.mp411.57MB

21. K Means Clustering/4. K Means Project Solutions.mp456.73MB

22. Principal Component Analysis/1. Principal Component Analysis.mp47.12MB

22. Principal Component Analysis/2. PCA with Python.mp449.81MB

23. Recommender Systems/1. Recommender Systems.mp49.1MB

23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp443.4MB

23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp439.41MB

24. Natural Language Processing/1. Natural Language Processing Theory.mp49.82MB

24. Natural Language Processing/2. NLP with Python - Part 1.mp447.41MB

24. Natural Language Processing/3. NLP with Python - Part 2.mp449.09MB

24. Natural Language Processing/4. NLP with Python - Part 3.mp443.49MB

24. Natural Language Processing/5. NLP Project Overview.mp48.45MB

24. Natural Language Processing/6. NLP Project Solutions.mp457.7MB

25. Neural Nets and Deep Learning/3. Welcome to the Deep Learning Section!.mp413.35MB

25. Neural Nets and Deep Learning/4. Introduction to Artificial Neural Networks (ANN).mp49.66MB

25. Neural Nets and Deep Learning/6. Perceptron Model.mp448MB

25. Neural Nets and Deep Learning/7. Neural Networks.mp435.92MB

25. Neural Nets and Deep Learning/8. Activation Functions.mp462.58MB

25. Neural Nets and Deep Learning/9. Multi-Class Classification Considerations.mp446.05MB

25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp475.98MB

25. Neural Nets and Deep Learning/11. Backpropagation.mp457.95MB

25. Neural Nets and Deep Learning/12. TensorFlow vs Keras.mp410.46MB

25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part One - Preparing the Data.mp450.35MB

25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp484.31MB

25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp464.78MB

25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4136.96MB

25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp476.2MB

25. Neural Nets and Deep Learning/18. TF Regression Code Along - Data Preprocessing and Creating a Model.mp447MB

25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp468.93MB

25. Neural Nets and Deep Learning/20. TF Classification Code Along - EDA and Preprocessing.mp456.21MB

25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4111.33MB

25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Options Overview.mp47.86MB

25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp480.53MB

25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4143.62MB

25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp496.82MB

25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp485.38MB

25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4124.95MB

25. Neural Nets and Deep Learning/28. Keras Project Solutions - Data PreProcessing.mp423.98MB

25. Neural Nets and Deep Learning/29. Keras Project Solutions - Creating and Training a Model.mp429.74MB

25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp463.11MB

26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp414.24MB

26. Big Data and Spark with Python/2. Big Data Overview.mp411.3MB

26. Big Data and Spark with Python/3. Spark Overview.mp417.5MB

26. Big Data and Spark with Python/5. AWS Account Set-Up.mp413.11MB

26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp486.53MB

26. Big Data and Spark with Python/8. SSH with Mac or Linux.mp410.9MB

26. Big Data and Spark with Python/9. PySpark Setup.mp470.63MB

26. Big Data and Spark with Python/10. Lambda Expressions Review.mp410.32MB

26. Big Data and Spark with Python/11. Introduction to Spark and Python.mp418.09MB

26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp470.81MB