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####################################################################################################################################################### Onkar Jadhav University of Luxembourg ####################################################################################################################################################### Codes with videos: 1. Datasets - Both big box (training) and small box (testing) datasets 2. GB_RF_SVR - Gradient boosting, random forest, and support vector regression models 3. Unoptimized_ANN - Simple ANN model 4. HyperOptimizationCode - Hyperparameter optimization codes for all models considered 5. CnP folder - Cluster-then-predict %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Simple guide to ML material you might find useful (ML_Links_N_Books): 1. File Links comprised of useful ML links and some papers as well. 2. ML_Links_N_Books folder contains some books you can check out: a) Geron017_Hands-On Machine Learning with Scikit-Learn and TensorFlow_ Concepts, Tools, and Techniques to Build Intelligent Systems is the best book in my opinion b) Raschka015_PythonMachineLearning is also worth checking out %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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