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[FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp

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种子名称: [FreeCourseSite.com] Udemy - 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: 3.57 GB
收录时间: 2019-3-19 22:42
已经下载: 3
资源热度: 179
最近下载: 2024-6-27 02:17

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[FreeCourseSite.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.mp45.16MB
  • 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.mp419.19MB
  • 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.mp48.57MB
  • 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.mp412.22MB
  • 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp447.27MB
  • 13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp445.72MB
  • 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. Introduction to Machine Learning.mp428.93MB
  • 14. Introduction to Machine Learning/4. 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.mp421.02MB
  • 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.mp45.32MB
  • 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.mp440.1MB
  • 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.mp426.57MB
  • 2. Environment Set-Up/1. Environment Set-up and Installation.mp422.3MB
  • 20. Support Vector Machines/1. SVM Theory.mp48.73MB
  • 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.mp429.95MB
  • 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.mp434.44MB
  • 24. Natural Language Processing/1. Natural Language Processing Theory.mp48.86MB
  • 24. Natural Language Processing/2. NLP with Python - Part 1.mp440.16MB
  • 24. Natural Language Processing/3. NLP with Python - Part 2.mp441.92MB
  • 24. Natural Language Processing/4. NLP with Python - Part 3.mp437.66MB
  • 24. Natural Language Processing/5. NLP Project Overview.mp46.67MB
  • 24. Natural Language Processing/6. NLP Project Solutions.mp448.05MB
  • 25. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp45.23MB
  • 25. Big Data and Spark with Python/10. Lambda Expressions Review.mp49.32MB
  • 25. Big Data and Spark with Python/11. Introduction to Spark and Python.mp415.74MB
  • 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp455.68MB
  • 25. Big Data and Spark with Python/2. Big Data Overview.mp49.96MB
  • 25. Big Data and Spark with Python/3. Spark Overview.mp415.69MB
  • 25. Big Data and Spark with Python/5. AWS Account Set-Up.mp410.88MB
  • 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp462.98MB
  • 25. Big Data and Spark with Python/8. SSH with Mac or Linux.mp49.15MB
  • 25. Big Data and Spark with Python/9. PySpark Setup.mp460.4MB
  • 26. Neural Nets and Deep Learning/1. Welcome to the Deep Learning Section!.mp44.9MB
  • 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp494.6MB
  • 26. Neural Nets and Deep Learning/2. Neural Network Theory.mp412.45MB
  • 26. Neural Nets and Deep Learning/3. What is TensorFlow.mp425.11MB
  • 26. Neural Nets and Deep Learning/4. Installing Tensorflow 1.10.mp47.27MB
  • 26. Neural Nets and Deep Learning/5. TensorFlow Basics.mp430.98MB
  • 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp458.38MB
  • 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp494.09MB
  • 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4156.64MB
  • 26. Neural Nets and Deep Learning/9. Deep Learning Project.mp428.16MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp469.26MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/2. MNIST with Multi-Layer Perceptron - Part 1.mp421.73MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/3. MNIST with Multi-Layer Perceptron - Part 2.mp436.52MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/4. MNIST with Multi-Layer Perceptron - Part 3.mp444.34MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/5. TensorFlow with ContribLearn.mp419.54MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/6. Tensorflow Project Exercise Overview.mp47.31MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/7. Tensorflow Project Exercise - Solutions.mp437.51MB
  • 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.mp435.79MB
  • 4. Python Crash Course/4. Python Crash Course - Part 2.mp428.87MB
  • 4. Python Crash Course/5. Python Crash Course - Part 3.mp431.76MB
  • 4. Python Crash Course/6. Python Crash Course - Part 4.mp429.26MB
  • 4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp49.38MB
  • 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp427.24MB
  • 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp42.48MB
  • 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.mp49.76MB
  • 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp438.28MB
  • 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.mp436.63MB
  • 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp43.19MB
  • 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.mp442.03MB
  • 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.mp426.16MB
  • 7. Python for Data Analysis - Pandas Exercises/1. SF Salaries Exercise Overview.mp46.78MB
  • 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.mp47.39MB
  • 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.mp412.64MB
  • 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.mp427.28MB
  • 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp45.86MB
  • 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp427.72MB
  • 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp49.03MB
  • 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.mp420.05MB