种子简介

种子名称： Python for Data Science and Machine Learning Bootcamp
文件类型： 视频
文件数目： 139个文件
文件大小： 4.38 GB
收录时间： 2019-11-19 04:57
已经下载： 3次
资源热度： 140
最近下载： 2024-11-29 01:31

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:72c79c0d4290b0e6f03617a789ca98bc4ddc55b8&dn=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

Python for Data Science and Machine Learning Bootcamp.torrent

1. Course Introduction/2. Course Help and Welcome.mp422.13MB

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!.mp410.71MB

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

4. Python Crash Course/3. Python Crash Course - Part 1.mp440.16MB

4. Python Crash Course/4. Python Crash Course - Part 2.mp432.22MB

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

4. Python Crash Course/6. Python Crash Course - Part 4.mp432.55MB

4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp412.23MB

4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp434.42MB

5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp415.36MB

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

5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp438.14MB

5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp442.26MB

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.mp422.7MB

6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp445.62MB

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

6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp424.31MB

6. Python for Data Analysis - Pandas/7. Missing Data.mp413.68MB

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

6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp430.39MB

6. Python for Data Analysis - Pandas/10. Operations.mp427.36MB

6. Python for Data Analysis - Pandas/11. Data Input and Output.mp444.5MB

7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.mp48.3MB

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.mp48.8MB

7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp452.03MB

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.mp441.62MB

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

8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp431.91MB

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

8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp432.81MB

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

9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp461.75MB

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

9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp425.42MB

9. Python for Data Visualization - Seaborn/5. Grids.mp423.95MB

9. Python for Data Visualization - Seaborn/6. Regression Plots.mp418.04MB

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

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

9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp424.24MB

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.mp46.55MB

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.mp415.64MB

11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp462.61MB

12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp42.16MB

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.mp412.88MB

12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp433.47MB

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

13. Data Capstone Project/2. 911 Calls Project Overview.mp411.44MB

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.mp460.47MB

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

13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp419.91MB

14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.mp419.5MB

14. Introduction to Machine Learning/3. Introduction to Machine Learning.mp437.62MB

14. Introduction to Machine Learning/4. Machine Learning with Python.mp418.78MB

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

15. Linear Regression/3. Linear Regression with Python - Part 1.mp452.31MB

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.mp456.47MB

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

17. Logistic Regression/1. Logistic Regression Theory.mp423.55MB

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.mp46.65MB

17. Logistic Regression/6. Logistic Regression Project Solutions.mp436.7MB

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

18. K Nearest Neighbors/2. KNN with Python.mp454.69MB

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

18. K Nearest Neighbors/4. KNN Project Solutions.mp470.86MB

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

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

19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp432.31MB

20. Support Vector Machines/1. SVM Theory.mp49.91MB

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.mp433.58MB

21. K Means Clustering/1. K Means Algorithm Theory.mp410.98MB

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.mp456.74MB

22. Principal Component Analysis/1. Principal Component Analysis.mp47.13MB

22. Principal Component Analysis/2. PCA with Python.mp449.82MB

23. Recommender Systems/1. Recommender Systems.mp49.11MB

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

23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp439.42MB

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

24. Natural Language Processing/2. NLP with Python - Part 1.mp447.42MB

24. Natural Language Processing/3. NLP with Python - Part 2.mp449.08MB

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

24. Natural Language Processing/5. NLP Project Overview.mp48.44MB

24. Natural Language Processing/6. NLP Project Solutions.mp457.69MB

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

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

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

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

25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp486.54MB

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

25. Big Data and Spark with Python/9. PySpark Setup.mp470.62MB

25. Big Data and Spark with Python/10. Lambda Expressions Review.mp410.31MB

25. Big Data and Spark with Python/11. Introduction to Spark and Python.mp418.08MB

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

26. Neural Nets and Deep Learning/1. Welcome to the Deep Learning Section!.mp413.35MB

26. Neural Nets and Deep Learning/2. Neural Network Theory.mp414.53MB

26. Neural Nets and Deep Learning/3. What is TensorFlow.mp432.81MB

26. Neural Nets and Deep Learning/4. Installing Tensorflow 1.10.mp47.28MB

26. Neural Nets and Deep Learning/5. TensorFlow Basics.mp436.59MB

26. Neural Nets and Deep Learning/6. MNIST - Part One.mp458.38MB

26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp494.08MB

26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4156.64MB

26. Neural Nets and Deep Learning/9. Deep Learning Project.mp428.15MB

26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp494.6MB

27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp491.93MB

27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/2. MNIST with Multi-Layer Perceptron - Part 1.mp425.23MB

27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/3. MNIST with Multi-Layer Perceptron - Part 2.mp445.19MB

27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/4. MNIST with Multi-Layer Perceptron - Part 3.mp456.7MB

27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/5. TensorFlow with ContribLearn.mp423.77MB

27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/6. Tensorflow Project Exercise Overview.mp440.59MB

27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/7. Tensorflow Project Exercise - Solutions.mp452.72MB