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Python for Data Science and Machine Learning Bootcamp

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视频 2019-11-19 04:57 2024-12-19 02:04 146 4.38 GB 139
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Python for Data Science and Machine Learning Bootcamp

文件列表
  1. 1. Course Introduction/2. Course Help and Welcome.mp422.13MB
  2. 2. Environment Set-Up/1. Python Environment Setup.mp476.35MB
  3. 3. Jupyter Overview/2. Jupyter Notebooks.mp437.76MB
  4. 3. Jupyter Overview/3. Optional Virtual Environments.mp421.79MB
  5. 4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp410.71MB
  6. 4. Python Crash Course/2. Introduction to Python Crash Course.mp43.04MB
  7. 4. Python Crash Course/3. Python Crash Course - Part 1.mp440.16MB
  8. 4. Python Crash Course/4. Python Crash Course - Part 2.mp432.22MB
  9. 4. Python Crash Course/5. Python Crash Course - Part 3.mp435.76MB
  10. 4. Python Crash Course/6. Python Crash Course - Part 4.mp432.55MB
  11. 4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp412.23MB
  12. 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp434.42MB
  13. 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp415.36MB
  14. 5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp44.73MB
  15. 5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp438.14MB
  16. 5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp442.26MB
  17. 5. Python for Data Analysis - NumPy/6. Numpy Operations.mp430.1MB
  18. 5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp412.22MB
  19. 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp446.24MB
  20. 6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp49.13MB
  21. 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp43.53MB
  22. 6. Python for Data Analysis - Pandas/3. Series.mp422.7MB
  23. 6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp445.62MB
  24. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp449.87MB
  25. 6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp424.31MB
  26. 6. Python for Data Analysis - Pandas/7. Missing Data.mp413.68MB
  27. 6. Python for Data Analysis - Pandas/8. Groupby.mp416.7MB
  28. 6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp430.39MB
  29. 6. Python for Data Analysis - Pandas/10. Operations.mp427.36MB
  30. 6. Python for Data Analysis - Pandas/11. Data Input and Output.mp444.5MB
  31. 7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.mp48.3MB
  32. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp451.79MB
  33. 7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.mp48.8MB
  34. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp452.03MB
  35. 8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp414.25MB
  36. 8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.mp416.34MB
  37. 8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.mp441.62MB
  38. 8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.mp435.46MB
  39. 8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp431.91MB
  40. 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp47.72MB
  41. 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp432.81MB
  42. 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp411.59MB
  43. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp461.75MB
  44. 9. Python for Data Visualization - Seaborn/3. Categorical Plots.mp444.38MB
  45. 9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp425.42MB
  46. 9. Python for Data Visualization - Seaborn/5. Grids.mp423.95MB
  47. 9. Python for Data Visualization - Seaborn/6. Regression Plots.mp418.04MB
  48. 9. Python for Data Visualization - Seaborn/7. Style and Color.mp422.7MB
  49. 9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.mp48.25MB
  50. 9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp424.24MB
  51. 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp436.88MB
  52. 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp46.55MB
  53. 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp435.91MB
  54. 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp415.64MB
  55. 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp462.61MB
  56. 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp42.16MB
  57. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp454.96MB
  58. 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp424.42MB
  59. 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp412.88MB
  60. 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp433.47MB
  61. 13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp410.98MB
  62. 13. Data Capstone Project/2. 911 Calls Project Overview.mp411.44MB
  63. 13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp449.16MB
  64. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp458.83MB
  65. 13. Data Capstone Project/6. Finance Data Project Overview.mp416.38MB
  66. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp460.47MB
  67. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp455.85MB
  68. 13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp419.91MB
  69. 14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.mp419.5MB
  70. 14. Introduction to Machine Learning/3. Introduction to Machine Learning.mp437.62MB
  71. 14. Introduction to Machine Learning/4. Machine Learning with Python.mp418.78MB
  72. 15. Linear Regression/1. Linear Regression Theory.mp49.9MB
  73. 15. Linear Regression/3. Linear Regression with Python - Part 1.mp452.31MB
  74. 15. Linear Regression/4. Linear Regression with Python - Part 2.mp419.27MB
  75. 15. Linear Regression/5. Linear Regression Project Overview.mp414.2MB
  76. 15. Linear Regression/6. Linear Regression Project Solution.mp456.47MB
  77. 16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp412.94MB
  78. 17. Logistic Regression/1. Logistic Regression Theory.mp423.55MB
  79. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp449.04MB
  80. 17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp438.83MB
  81. 17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp420.02MB
  82. 17. Logistic Regression/5. Logistic Regression Project Overview.mp46.65MB
  83. 17. Logistic Regression/6. Logistic Regression Project Solutions.mp436.7MB
  84. 18. K Nearest Neighbors/1. KNN Theory.mp411.18MB
  85. 18. K Nearest Neighbors/2. KNN with Python.mp454.69MB
  86. 18. K Nearest Neighbors/3. KNN Project Overview.mp47.11MB
  87. 18. K Nearest Neighbors/4. KNN Project Solutions.mp470.86MB
  88. 19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp413.49MB
  89. 19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp449.09MB
  90. 19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp415.43MB
  91. 19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp436.72MB
  92. 1. Course Introduction/1. Introduction to the Course.mp443.01MB
  93. 19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp432.31MB
  94. 20. Support Vector Machines/1. SVM Theory.mp49.91MB
  95. 20. Support Vector Machines/2. Support Vector Machines with Python.mp456.15MB
  96. 20. Support Vector Machines/3. SVM Project Overview.mp411.18MB
  97. 20. Support Vector Machines/4. SVM Project Solutions.mp433.58MB
  98. 21. K Means Clustering/1. K Means Algorithm Theory.mp410.98MB
  99. 21. K Means Clustering/2. K Means with Python.mp434.62MB
  100. 21. K Means Clustering/3. K Means Project Overview.mp411.57MB
  101. 21. K Means Clustering/4. K Means Project Solutions.mp456.74MB
  102. 22. Principal Component Analysis/1. Principal Component Analysis.mp47.13MB
  103. 22. Principal Component Analysis/2. PCA with Python.mp449.82MB
  104. 23. Recommender Systems/1. Recommender Systems.mp49.11MB
  105. 23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp443.4MB
  106. 23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp439.42MB
  107. 24. Natural Language Processing/1. Natural Language Processing Theory.mp49.82MB
  108. 24. Natural Language Processing/2. NLP with Python - Part 1.mp447.42MB
  109. 24. Natural Language Processing/3. NLP with Python - Part 2.mp449.08MB
  110. 24. Natural Language Processing/4. NLP with Python - Part 3.mp443.49MB
  111. 24. Natural Language Processing/5. NLP Project Overview.mp48.44MB
  112. 24. Natural Language Processing/6. NLP Project Solutions.mp457.69MB
  113. 25. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp414.24MB
  114. 25. Big Data and Spark with Python/2. Big Data Overview.mp411.3MB
  115. 25. Big Data and Spark with Python/3. Spark Overview.mp417.5MB
  116. 25. Big Data and Spark with Python/5. AWS Account Set-Up.mp413.11MB
  117. 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp486.54MB
  118. 25. Big Data and Spark with Python/8. SSH with Mac or Linux.mp410.9MB
  119. 25. Big Data and Spark with Python/9. PySpark Setup.mp470.62MB
  120. 25. Big Data and Spark with Python/10. Lambda Expressions Review.mp410.31MB
  121. 25. Big Data and Spark with Python/11. Introduction to Spark and Python.mp418.08MB
  122. 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp470.81MB
  123. 26. Neural Nets and Deep Learning/1. Welcome to the Deep Learning Section!.mp413.35MB
  124. 26. Neural Nets and Deep Learning/2. Neural Network Theory.mp414.53MB
  125. 26. Neural Nets and Deep Learning/3. What is TensorFlow.mp432.81MB
  126. 26. Neural Nets and Deep Learning/4. Installing Tensorflow 1.10.mp47.28MB
  127. 26. Neural Nets and Deep Learning/5. TensorFlow Basics.mp436.59MB
  128. 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp458.38MB
  129. 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp494.08MB
  130. 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4156.64MB
  131. 26. Neural Nets and Deep Learning/9. Deep Learning Project.mp428.15MB
  132. 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp494.6MB
  133. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp491.93MB
  134. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/2. MNIST with Multi-Layer Perceptron - Part 1.mp425.23MB
  135. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/3. MNIST with Multi-Layer Perceptron - Part 2.mp445.19MB
  136. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/4. MNIST with Multi-Layer Perceptron - Part 3.mp456.7MB
  137. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/5. TensorFlow with ContribLearn.mp423.77MB
  138. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/6. Tensorflow Project Exercise Overview.mp440.59MB
  139. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/7. Tensorflow Project Exercise - Solutions.mp452.72MB
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