FreeCourseSite com Udemy - Machine Learning Data Science and Deep Learning with Python

1. 1 - Getting Started/1 - Introduction.mp459.57MB
2. 1 - Getting Started/10 - Activity Python Basics Part 3 Optional.mp47.07MB
3. 1 - Getting Started/11 - Activity Python Basics Part 4 Optional.mp412.37MB
4. 1 - Getting Started/12 - Introducing the Pandas Library Optional.mp474.2MB
5. 1 - Getting Started/2 - Udemy 101 Getting the Most From This Course.mp417.4MB
6. 1 - Getting Started/5 - Activity WINDOWS Installing and Using Anaconda Course Materials.mp4127.49MB
7. 1 - Getting Started/6 - Activity MAC Installing and Using Anaconda Course Materials.mp4188.77MB
8. 1 - Getting Started/7 - Activity LINUX Installing and Using Anaconda Course Materials.mp4105.22MB
9. 1 - Getting Started/8 - Python Basics Part 1 Optional.mp445.14MB
10. 1 - Getting Started/9 - Activity Python Basics Part 2 Optional.mp420.62MB
11. 10 - Deep Learning and Neural Networks/100 - Recurrent Neural Networks RNNs.mp447.42MB
12. 10 - Deep Learning and Neural Networks/101 - Activity Using a RNN for sentiment analysis.mp4118.84MB
13. 10 - Deep Learning and Neural Networks/102 - Activity Transfer Learning.mp4186.07MB
14. 10 - Deep Learning and Neural Networks/103 - Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp411MB
15. 10 - Deep Learning and Neural Networks/104 - Deep Learning Regularization with Dropout and Early Stopping.mp426.71MB
16. 10 - Deep Learning and Neural Networks/105 - The Ethics of Deep Learning.mp4120.5MB
17. 10 - Deep Learning and Neural Networks/89 - Deep Learning PreRequisites.mp4118.35MB
18. 10 - Deep Learning and Neural Networks/90 - The History of Artificial Neural Networks.mp468.87MB
19. 10 - Deep Learning and Neural Networks/91 - Activity Deep Learning in the Tensorflow Playground.mp488.65MB
20. 10 - Deep Learning and Neural Networks/92 - Deep Learning Details.mp442.28MB
21. 10 - Deep Learning and Neural Networks/93 - Introducing Tensorflow.mp466.64MB
22. 10 - Deep Learning and Neural Networks/94 - Activity Using Tensorflow Part 1.mp4169.92MB
23. 10 - Deep Learning and Neural Networks/95 - Activity Using Tensorflow Part 2.mp4148.98MB
24. 10 - Deep Learning and Neural Networks/96 - Activity Introducing Keras.mp4110.24MB
25. 10 - Deep Learning and Neural Networks/97 - Activity Using Keras to Predict Political Affiliations.mp4102.83MB
26. 10 - Deep Learning and Neural Networks/98 - Convolutional Neural Networks CNNs.mp490.26MB
27. 10 - Deep Learning and Neural Networks/99 - Activity Using CNNs for handwriting recognition.mp484.92MB
28. 11 - Generative Models/106 - Variational AutoEncoders VAEs how they work.mp442.88MB
29. 11 - Generative Models/107 - Variational AutoEncoders VAE Handson with Fashion MNIST.mp4243.77MB
30. 11 - Generative Models/108 - Generative Adversarial Networks GANs How they work.mp423.17MB
31. 11 - Generative Models/109 - Generative Adversarial Networks GANs Playing with some demos.mp4144.79MB
32. 11 - Generative Models/110 - Generative Adversarial Networks GANs Handson with Fashion MNIST.mp4126.11MB
33. 11 - Generative Models/111 - Learning More about Deep Learning.mp440.49MB
34. 12 - Final Project/112 - Your final project assignment Mammogram Classification.mp451.6MB
35. 12 - Final Project/113 - Final project review.mp4106.82MB
36. 13 - You made it/114 - More to Explore.mp466.93MB
37. 2 - Statistics and Probability Refresher and Python Practice/13 - Types of Data Numerical Categorical Ordinal.mp4106.93MB
38. 2 - Statistics and Probability Refresher and Python Practice/14 - Mean Median Mode.mp426.71MB
39. 2 - Statistics and Probability Refresher and Python Practice/15 - Activity Using mean median and mode in Python.mp470.2MB
40. 2 - Statistics and Probability Refresher and Python Practice/16 - Activity Variation and Standard Deviation.mp4149.08MB
41. 2 - Statistics and Probability Refresher and Python Practice/17 - Probability Density Function Probability Mass Function.mp410.67MB
42. 2 - Statistics and Probability Refresher and Python Practice/18 - Common Data Distributions Normal Binomial Poisson etc.mp445.75MB
43. 2 - Statistics and Probability Refresher and Python Practice/19 - Activity Percentiles and Moments.mp467.47MB
44. 2 - Statistics and Probability Refresher and Python Practice/20 - Activity A Crash Course in matplotlib.mp4127.27MB
45. 2 - Statistics and Probability Refresher and Python Practice/21 - Activity Advanced Visualization with Seaborn.mp4149.05MB
46. 2 - Statistics and Probability Refresher and Python Practice/22 - Activity Covariance and Correlation.mp4115.12MB
47. 2 - Statistics and Probability Refresher and Python Practice/23 - Exercise Conditional Probability.mp4147.46MB
48. 2 - Statistics and Probability Refresher and Python Practice/24 - Exercise Solution Conditional Probability of Purchase by Age.mp425.46MB
49. 2 - Statistics and Probability Refresher and Python Practice/25 - Bayes Theorem.mp482.87MB
50. 3 - Predictive Models/26 - Activity Linear Regression.mp4136.66MB
51. 3 - Predictive Models/27 - Activity Polynomial Regression.mp490.53MB
52. 3 - Predictive Models/28 - Activity Multiple Regression and Predicting Car Prices.mp4150.84MB
53. 3 - Predictive Models/29 - MultiLevel Models.mp445.69MB
54. 4 - Machine Learning with Python/30 - Supervised vs Unsupervised Learning and TrainTest.mp496.44MB
55. 4 - Machine Learning with Python/31 - Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp435.35MB
56. 4 - Machine Learning with Python/32 - Bayesian Methods Concepts.mp415.81MB
57. 4 - Machine Learning with Python/33 - Activity Implementing a Spam Classifier with Naive Bayes.mp4118.41MB
58. 4 - Machine Learning with Python/34 - KMeans Clustering.mp443.17MB
59. 4 - Machine Learning with Python/35 - Activity Clustering people based on income and age.mp436MB
60. 4 - Machine Learning with Python/36 - Measuring Entropy.mp420.96MB
61. 4 - Machine Learning with Python/37 - Activity WINDOWS Installing Graphviz.mp41.39MB
62. 4 - Machine Learning with Python/38 - Activity MAC Installing Graphviz.mp415.53MB
63. 4 - Machine Learning with Python/39 - Activity LINUX Installing Graphviz.mp43.51MB
64. 4 - Machine Learning with Python/40 - Decision Trees Concepts.mp4119.68MB
65. 4 - Machine Learning with Python/41 - Activity Decision Trees Predicting Hiring Decisions.mp493.26MB
66. 4 - Machine Learning with Python/42 - Ensemble Learning.mp462.91MB
67. 4 - Machine Learning with Python/43 - Activity XGBoost.mp4120.67MB
68. 4 - Machine Learning with Python/44 - Support Vector Machines SVM Overview.mp427.13MB
69. 4 - Machine Learning with Python/45 - Activity Using SVM to cluster people using scikitlearn.mp457.11MB
70. 5 - Recommender Systems/46 - UserBased Collaborative Filtering.mp4119.66MB
71. 5 - Recommender Systems/47 - ItemBased Collaborative Filtering.mp437.36MB
72. 5 - Recommender Systems/48 - Activity Finding Movie Similarities using Cosine Similarity.mp4137.05MB
73. 5 - Recommender Systems/49 - Activity Improving the Results of Movie Similarities.mp493.9MB
74. 5 - Recommender Systems/50 - Activity Making Movie Recommendations with ItemBased Collaborative Filtering.mp4181.28MB
75. 5 - Recommender Systems/51 - Exercise Improve the recommenders results.mp450.69MB
76. 6 - More Data Mining and Machine Learning Techniques/52 - KNearestNeighbors Concepts.mp423.78MB
77. 6 - More Data Mining and Machine Learning Techniques/53 - Activity Using KNN to predict a rating for a movie.mp4140.72MB
78. 6 - More Data Mining and Machine Learning Techniques/54 - Dimensionality Reduction Principal Component Analysis PCA.mp465.33MB
79. 6 - More Data Mining and Machine Learning Techniques/55 - Activity PCA Example with the Iris data set.mp4109.28MB
80. 6 - More Data Mining and Machine Learning Techniques/56 - Data Warehousing Overview ETL and ELT.mp4100.72MB
81. 6 - More Data Mining and Machine Learning Techniques/57 - Reinforcement Learning.mp4182.27MB
82. 6 - More Data Mining and Machine Learning Techniques/58 - Activity Reinforcement Learning QLearning with Gym.mp494.02MB
83. 6 - More Data Mining and Machine Learning Techniques/59 - Understanding a Confusion Matrix.mp49.38MB
84. 6 - More Data Mining and Machine Learning Techniques/60 - Measuring Classifiers Precision Recall F1 ROC AUC.mp415.51MB
85. 7 - Dealing with RealWorld Data/61 - BiasVariance Tradeoff.mp439.65MB
86. 7 - Dealing with RealWorld Data/62 - Activity KFold CrossValidation to avoid overfitting.mp485.82MB
87. 7 - Dealing with RealWorld Data/63 - Data Cleaning and Normalization.mp4106.54MB
88. 7 - Dealing with RealWorld Data/64 - Activity Cleaning web log data.mp452.67MB
89. 7 - Dealing with RealWorld Data/65 - Normalizing numerical data.mp417.42MB
90. 7 - Dealing with RealWorld Data/66 - Activity Detecting outliers.mp441.46MB
91. 7 - Dealing with RealWorld Data/67 - Feature Engineering and the Curse of Dimensionality.mp422.25MB
92. 7 - Dealing with RealWorld Data/68 - Imputation Techniques for Missing Data.mp427.21MB
93. 7 - Dealing with RealWorld Data/69 - Handling Unbalanced Data Oversampling Undersampling and SMOTE.mp425.87MB
94. 7 - Dealing with RealWorld Data/70 - Binning Transforming Encoding Scaling and Shuffling.mp458.37MB
95. 8 - Apache Spark Machine Learning on Big Data/73 - Activity Installing Spark Part 1.mp483.99MB
96. 8 - Apache Spark Machine Learning on Big Data/74 - Activity Installing Spark Part 2.mp4196.06MB
97. 8 - Apache Spark Machine Learning on Big Data/75 - Spark Introduction.mp440.49MB
98. 8 - Apache Spark Machine Learning on Big Data/76 - Spark and the Resilient Distributed Dataset RDD.mp434.33MB
99. 8 - Apache Spark Machine Learning on Big Data/77 - Introducing MLLib.mp424.83MB
100. 8 - Apache Spark Machine Learning on Big Data/78 - Introduction to Decision Trees in Spark.mp4133.95MB
101. 8 - Apache Spark Machine Learning on Big Data/79 - Activity KMeans Clustering in Spark.mp4178.4MB
102. 8 - Apache Spark Machine Learning on Big Data/80 - TF IDF.mp496.85MB
103. 8 - Apache Spark Machine Learning on Big Data/81 - Activity Searching Wikipedia with Spark.mp4139.41MB
104. 8 - Apache Spark Machine Learning on Big Data/82 - Activity Using the Spark DataFrame API for MLLib.mp4106.29MB
105. 9 - Experimental Design ML in the Real World/83 - Deploying Models to RealTime Systems.mp422.82MB
106. 9 - Experimental Design ML in the Real World/84 - AB Testing Concepts.mp455.15MB
107. 9 - Experimental Design ML in the Real World/85 - TTests and PValues.mp422.89MB
108. 9 - Experimental Design ML in the Real World/86 - Activity Handson With TTests.mp480.56MB
109. 9 - Experimental Design ML in the Real World/87 - Determining How Long to Run an Experiment.mp416.03MB
110. 9 - Experimental Design ML in the Real World/88 - AB Test Gotchas.mp4134.46MB