Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

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A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

TwitPersonality: Computing Personality Traits from Tweets using Word Embeddings and Supervised Learning

Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season

This toolbox offers 7 machine learning methods for regression problems.

Implementation of Relaxed Lasso Algorithm for Linear Regression.

Applied Machine Learning

Use Ridge Regression and Lasso Regression in prostate cancer data

Implements Linear Models for Regression(Linear, Ridge, Lasso Regressions) and Classification(Logistic Regression) from scratch in Python

implementation of ridge and lasso regression from scratch

Data Science Case Study

Linear Regression with Gradient Descent from scratch by using Numpy only.

Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats

Assignments for COL 341 @ IIT Delhi.

Data collection, analysis and regression of luxury hand bag prices

A Machine Learning project about a regression problem for the prediction of Taxi-out time in flights, using 9 different ML models, with different algorithms and data-scaling.

Forecasting the likelihood of a customer defaulting their auto loan using classification models