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Project_Files/Python Machine Learning Solutions [Video].zip 60.6 MB
71 - Logistic Regression Model Implementation.mp4 49.5 MB
25 - Using concurrent.futures.mp4 49.0 MB
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67 - Regression Model Implementation to Predict Television Show Viewers.mp4 42.3 MB
18 - Getting the Most Out of docstrings 1 - PEP 257 and docutils.mp4 40.5 MB
72 - K – Nearest Neighbor Classifier Implementation.mp4 40.2 MB
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172 - Deep Learning Hello World! Classifying the MNIST Data.mp4 36.4 MB
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175 - Optimizing a Simple Model in Pure Theano.mp4 35.2 MB
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Exercise Files/code_33873.zip 283.4 MB
5.Boost Your Overall Model Robustness/24.Perform Metric Selection on Real Data.mp4 64.2 MB
2.Feature Improvement with Non Linear Classification Techniques/08.Implementing kNN on the Data Set.mp4 30.9 MB
3.Power of Ensemble Learning with Python/13.Gradient Boosting Trees and Bayes Optimization.mp4 30.1 MB
3.Power of Ensemble Learning with Python/16.Implement Stacking.mp4 29.7 MB
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3.Power of Ensemble Learning with Python/15.Implement Blending.mp4 24.4 MB
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4.Recommender Systems/18.Item-to-Item Recommendation with kNN.mp4 19.3 MB
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