Course work of Pattern Recognition CS6690 IIT Madras
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Updated
Jul 29, 2015 - MATLAB
Course work of Pattern Recognition CS6690 IIT Madras
🍷 📈 (EDA) R - Vizualization / Performed exploratory analysis and visualization on Red Wine Quality dataset; Mainly answering which chemical properties influence the quality of red wines.
Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).
A package with functions to blend machine learning models and GLMs
Addressing problems in local ML explanations.
Explanatory and predictive models created using linear and logistic regression techniques
Mathematics - Linear Algebra, Statistics, and Differential Equations
Using linear models for classification.
Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.
This project was in collaboration with University Hospital Birmingham
Kaggle Higgs Boson Machine Learning Challenge
Predicting sale price of houses using linear models
This is collection of My Data Analysis and Python Leaning
Linear Regression with Gradient Descent in Octave
Workshop material for week 2
Course materials for "Biostatistics: Case Studies"
Computes a linear scoring function for multicriteria optimization
Toxic Comment Classification Challenge from kaggle
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