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1. Introduction/1. What is Machine Learning.mp4 30.1 MB
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5. Going Live/2. Display SVD Item Predictions.mp4 23.7 MB
2. Machine Learning Framework/2. Evaluation.mp4 22.6 MB
4. KNN/3. User vs Item.mp4 19.5 MB
1. Introduction/2. Shallow vs Deep learning.mp4 13.9 MB
1. Introduction/3. Theory vs Practice.mp4 12.0 MB
2. Machine Learning Framework/3. Install Python 3.5+.mp4 7.7 MB
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1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
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05 The Basics of Python/021 Getting To Know Python.mp4 53.3 MB
05 The Basics of Python/022 Understanding More About Python.mp4 17.2 MB
03 Python Setup for Mac/008 Introduction.mp4 5.6 MB
03 Python Setup for Mac/009 Downloading And Installing Python On Mac OS X.mp4 9.5 MB
03 Python Setup for Mac/010 Using IDLE on Mac OS X.mp4 50.7 MB
03 Python Setup for Mac/011 Free 90 Day Extended Trial of IntelliJ Ultimate Edition Now Available.html 1.7 kB
03 Python Setup for Mac/012 Downloading and Installing IntelliJ for a Mac.mp4 57.8 MB
03 Python Setup for Mac/013 Configuring Python in IntelliJ on a Mac.mp4 66.3 MB
05 The Basics of Python/023 Storing Items In Variables.mp4 21.6 MB
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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
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39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
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7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
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~Get Your Files Here !/6. Non-Linear Programming (NLP)/7. NLP Challenge Solution.mp4 290.6 MB
~Get Your Files Here !/5. Mixed-Integer Linear Programming (MILP)/5. Example2 Model Development in Python.mp4 236.1 MB
~Get Your Files Here !/4. Linear Programming (LP)/7. LP Challenge Solution in Python.mp4 228.8 MB
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~Get Your Files Here !/6. Non-Linear Programming (NLP)/6. NLP Challenge Problem.mp4 93.4 MB
~Get Your Files Here !/7. Mixed-Integer Nonlinear Programming (MINLP)/6. MINLP Challenge Problem.mp4 85.7 MB
~Get Your Files Here !/7. Mixed-Integer Nonlinear Programming (MINLP)/3. Example1 Model Development in Python.mp4 82.3 MB
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~Get Your Files Here !/4. Linear Programming (LP)/6. LP Challenge Problem.mp4 68.0 MB
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~Get Your Files Here !/1. Chapter 1/6. Dictionaries in Python.mp4 80.2 MB
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ShesGonnaSquirt - Leigh Darby (Spunky Python's Flying Squirtus) NEW October 31, 2013.mp4 252.3 MB
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