harshraj11584/Numerical_Analysis

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Created over 5 years ago
Updated about 5 years ago

harshraj11584/Numerical_Analysis

harshraj11584

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Numerical Techniques (Matrix Decomposition, Matrix Equation Solvers, Inversion, Iterative Root Finding), All Implemented from scratch in Python

Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix

[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky

Jupyter Notebook

Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

MUSIC-DOA-Estimation

Python Implementation of MUltiple SIgnal Classification Algorithm for DOA Estimation on Synthetically Generated Data

Jupyter Notebook

fast_sudoku_solver_and_generator

Fast C++ 9X9 Sudoku Solver & Generator Program

Voice_Command_Recognition

[ML] [Audio Classification] Recognises Voice Commands from System Microphone, using MFCC, Random forests and MLPs

Jupyter Notebook

Human-Activity-Recognition-0.97-Kaggle

Human Activity Recognition UCI Dataset, final score 0.97196

Jupyter Notebook

SVM_Optimization_cvxpy

Derivation of SVM Optimization Problem, Linearly Separable/Inseparable Cases, Wolfe Duals, Regularized SVM, and Implementation from scratch in cvxpy

MA2142-RegressionAnalysis-FIFA2019-OverallRating

Project for MA2142 Regression Analysis : Predicting Overall Rating for FIFA2019 Dataset using only Linear Regression based techniques. RMSE = 0.11

Classical_Time_Series_Forecasting

Some Good Results using Statistical Models for Time Series, No Deep Learning was used.

Jupyter Notebook