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[Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp

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Tutorialsplanet NET Udemy - Python for Data Science and Machine Learning Bootcamp

文件列表
  1. 1. Course Introduction/1. Introduction to the Course.mp429.04MB
  2. 1. Course Introduction/2. Course Help and Welcome.mp48.26MB
  3. 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp431.35MB
  4. 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp45.16MB
  5. 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp428.61MB
  6. 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp412.51MB
  7. 11. Python for Data Visualization - Plotly and Cufflinks/3. Plotly and Cufflinks.mp451.16MB
  8. 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp41.94MB
  9. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp446.16MB
  10. 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp419.2MB
  11. 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp411.16MB
  12. 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp427.64MB
  13. 13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp43.99MB
  14. 13. Data Capstone Project/2. 911 Calls Project Overview.mp48.57MB
  15. 13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp439.8MB
  16. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp449.79MB
  17. 13. Data Capstone Project/6. Finance Data Project Overview.mp412.21MB
  18. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp447.27MB
  19. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp445.72MB
  20. 13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp416.57MB
  21. 14. Introduction to Machine Learning/2. Welcome to the Machine Learning Section!.mp47.21MB
  22. 14. Introduction to Machine Learning/3. Supervised Learning Overview.mp440.05MB
  23. 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp482.72MB
  24. 14. Introduction to Machine Learning/5. Evaluating Performance - Regression Error Metrics.mp423.7MB
  25. 14. Introduction to Machine Learning/6. Machine Learning with Python.mp416.8MB
  26. 15. Linear Regression/1. Linear Regression Theory.mp48.56MB
  27. 15. Linear Regression/3. Linear Regression with Python - Part 1.mp443.32MB
  28. 15. Linear Regression/4. Linear Regression with Python - Part 2.mp416.06MB
  29. 15. Linear Regression/5. Linear Regression Project Overview.mp410.8MB
  30. 15. Linear Regression/6. Linear Regression Project Solution.mp445.39MB
  31. 16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp411.61MB
  32. 17. Logistic Regression/1. Logistic Regression Theory.mp421.02MB
  33. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp441.42MB
  34. 17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp434.22MB
  35. 17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp416.96MB
  36. 17. Logistic Regression/5. Logistic Regression Project Overview.mp45.31MB
  37. 17. Logistic Regression/6. Logistic Regression Project Solutions.mp430.2MB
  38. 18. K Nearest Neighbors/1. KNN Theory.mp49.91MB
  39. 18. K Nearest Neighbors/2. KNN with Python.mp445.96MB
  40. 18. K Nearest Neighbors/3. KNN Project Overview.mp44.99MB
  41. 18. K Nearest Neighbors/4. KNN Project Solutions.mp452.66MB
  42. 19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp412.07MB
  43. 19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp440.09MB
  44. 19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp411.97MB
  45. 19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp430.86MB
  46. 19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp426.57MB
  47. 2. Environment Set-Up/1. Python Environment Setup.mp476.36MB
  48. 20. Support Vector Machines/1. SVM Theory.mp48.72MB
  49. 20. Support Vector Machines/2. Support Vector Machines with Python.mp447.46MB
  50. 20. Support Vector Machines/3. SVM Project Overview.mp48.59MB
  51. 20. Support Vector Machines/4. SVM Project Solutions.mp428.14MB
  52. 21. K Means Clustering/1. K Means Algorithm Theory.mp49.61MB
  53. 21. K Means Clustering/2. K Means with Python.mp429.95MB
  54. 21. K Means Clustering/3. K Means Project Overview.mp49.2MB
  55. 21. K Means Clustering/4. K Means Project Solutions.mp447.12MB
  56. 22. Principal Component Analysis/1. Principal Component Analysis.mp46.21MB
  57. 22. Principal Component Analysis/2. PCA with Python.mp443.25MB
  58. 23. Recommender Systems/1. Recommender Systems.mp47.88MB
  59. 23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp435.52MB
  60. 23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp434.44MB
  61. 24. Natural Language Processing/1. Natural Language Processing Theory.mp48.86MB
  62. 24. Natural Language Processing/2. NLP with Python - Part 1.mp440.16MB
  63. 24. Natural Language Processing/3. NLP with Python - Part 2.mp441.92MB
  64. 24. Natural Language Processing/4. NLP with Python - Part 3.mp437.67MB
  65. 24. Natural Language Processing/5. NLP Project Overview.mp46.68MB
  66. 24. Natural Language Processing/6. NLP Project Solutions.mp448.06MB
  67. 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp475.99MB
  68. 25. Neural Nets and Deep Learning/11. Backpropagation.mp457.96MB
  69. 25. Neural Nets and Deep Learning/12. TensorFlow vs Keras.mp410.45MB
  70. 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part One - Preparing the Data.mp450.35MB
  71. 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp484.31MB
  72. 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp464.78MB
  73. 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4136.96MB
  74. 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp476.21MB
  75. 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Data Preprocessing and Creating a Model.mp447MB
  76. 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp468.93MB
  77. 25. Neural Nets and Deep Learning/20. TF Classification Code Along - EDA and Preprocessing.mp456.22MB
  78. 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4111.33MB
  79. 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Options Overview.mp47.86MB
  80. 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp480.54MB
  81. 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4143.63MB
  82. 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp496.82MB
  83. 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp485.38MB
  84. 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4124.94MB
  85. 25. Neural Nets and Deep Learning/28. Keras Project Solutions - Data PreProcessing.mp423.98MB
  86. 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Creating and Training a Model.mp429.74MB
  87. 25. Neural Nets and Deep Learning/3. Welcome to the Deep Learning Section!.mp44.9MB
  88. 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp463.12MB
  89. 25. Neural Nets and Deep Learning/31. Tensorboard.mp4144.18MB
  90. 25. Neural Nets and Deep Learning/4. Introduction to Artificial Neural Networks (ANN).mp49.67MB
  91. 25. Neural Nets and Deep Learning/6. Perceptron Model.mp448.01MB
  92. 25. Neural Nets and Deep Learning/7. Neural Networks.mp435.93MB
  93. 25. Neural Nets and Deep Learning/8. Activation Functions.mp462.59MB
  94. 25. Neural Nets and Deep Learning/9. Multi-Class Classification Considerations.mp446.06MB
  95. 26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp45.23MB
  96. 26. Big Data and Spark with Python/10. Lambda Expressions Review.mp49.32MB
  97. 26. Big Data and Spark with Python/11. Introduction to Spark and Python.mp415.74MB
  98. 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp455.68MB
  99. 26. Big Data and Spark with Python/2. Big Data Overview.mp49.96MB
  100. 26. Big Data and Spark with Python/3. Spark Overview.mp415.7MB
  101. 26. Big Data and Spark with Python/5. AWS Account Set-Up.mp410.88MB
  102. 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp462.98MB
  103. 26. Big Data and Spark with Python/8. SSH with Mac or Linux.mp49.14MB
  104. 26. Big Data and Spark with Python/9. PySpark Setup.mp460.39MB
  105. 3. Jupyter Overview/2. Jupyter Notebooks.mp431.98MB
  106. 3. Jupyter Overview/3. Optional Virtual Environments.mp418.95MB
  107. 4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp43.95MB
  108. 4. Python Crash Course/2. Introduction to Python Crash Course.mp42.65MB
  109. 4. Python Crash Course/3. Python Crash Course - Part 1.mp435.78MB
  110. 4. Python Crash Course/4. Python Crash Course - Part 2.mp428.87MB
  111. 4. Python Crash Course/5. Python Crash Course - Part 3.mp431.75MB
  112. 4. Python Crash Course/6. Python Crash Course - Part 4.mp429.27MB
  113. 4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp49.38MB
  114. 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp427.25MB
  115. 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp42.48MB
  116. 5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp44.15MB
  117. 5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp433.44MB
  118. 5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp437.31MB
  119. 5. Python for Data Analysis - NumPy/6. Numpy Operations.mp425.46MB
  120. 5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp49.77MB
  121. 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp438.28MB
  122. 6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp43.26MB
  123. 6. Python for Data Analysis - Pandas/10. Operations.mp424.13MB
  124. 6. Python for Data Analysis - Pandas/11. Data Input and Output.mp436.63MB
  125. 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp43.18MB
  126. 6. Python for Data Analysis - Pandas/3. Series.mp420.3MB
  127. 6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp439.77MB
  128. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp442.02MB
  129. 6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp420.85MB
  130. 6. Python for Data Analysis - Pandas/7. Missing Data.mp412.14MB
  131. 6. Python for Data Analysis - Pandas/8. Groupby.mp414.78MB
  132. 6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp426.16MB
  133. 7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.mp46.79MB
  134. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp442.7MB
  135. 7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.mp47.4MB
  136. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp443.08MB
  137. 8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp45.2MB
  138. 8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.mp412.63MB
  139. 8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.mp436.18MB
  140. 8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.mp431.57MB
  141. 8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp427.28MB
  142. 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp45.85MB
  143. 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp427.73MB
  144. 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp49.02MB
  145. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp451.41MB
  146. 9. Python for Data Visualization - Seaborn/3. Categorical Plots.mp438.5MB
  147. 9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp422.36MB
  148. 9. Python for Data Visualization - Seaborn/5. Grids.mp419.89MB
  149. 9. Python for Data Visualization - Seaborn/6. Regression Plots.mp415.47MB
  150. 9. Python for Data Visualization - Seaborn/7. Style and Color.mp419MB
  151. 9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.mp46.64MB
  152. 9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp420.04MB
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