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Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix
Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix Public[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky
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Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder
Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder Public[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
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Numerical_Analysis
Numerical_Analysis PublicNumerical Techniques (Matrix Decomposition, Matrix Equation Solvers, Inversion, Iterative Root Finding), All Implemented from scratch in Python
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MA2142-RegressionAnalysis-FIFA2019-OverallRating
MA2142-RegressionAnalysis-FIFA2019-OverallRating PublicProject for MA2142 Regression Analysis : Predicting Overall Rating for FIFA2019 Dataset using only Linear Regression based techniques. RMSE = 0.11
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Human-Activity-Recognition-0.97-Kaggle
Human-Activity-Recognition-0.97-Kaggle PublicHuman Activity Recognition UCI Dataset, final score 0.97196
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Voice_Command_Recognition
Voice_Command_Recognition Public[ML] [Audio Classification] Recognises Voice Commands from System Microphone, using MFCC, Random forests and MLPs
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