Implementation of a Partial Least Squares Regressor

Fast regression and mediation analysis of vertex or voxel MRI data with TFCE

This repository contains my machine learning models implementation code using streamlit in the Python programming language.

Simple linear regressor that tries to approximate a simple function deployed in Tensorflow 2.0 without Keras

Used historical usage patterns with weather data in order to forecast hourly bike rental demand.

A working forecasting model to optimize promotions and warehouse stocks of one of the most important European retailers

Predict sales prices and practice different machine learning regressors.

It is an End to End Data Science project using Linear Regression Machine Learning model.

My Machine Learning course projects

Weather prediction with Gaussian Process Regression

Solving Industry based and Solution based problems through Neural Networks

Coursework done as part of the Statistical Methods in AI course offered in Monsoon 2023 by Prof. Ravi Kiran Sarvadevabhatla, IIITH. Topics covered include KNNs, Decision Trees, Dimensionality Reduction, Gaussian Mixture Models, Bagging, Boosting, MLP Classifiers and Regressors, Logistic Regression, Kernel Density Estimation and Hidden Markov Models

🏠 House price prediction app with Random Forest Regressor and using Streamlit for Modern UI.

Churn , IT dataset , ADA Boost Classification model

Multiple linear regression model implementation with automated backward elimination (with p-value and adjusted r-squared) in Python and R for showing the relationship among profit and types of expenditures and the states.

Experimentation with Neural Networks, as well as recommender systems related to movies.

国内基金数据获取及回归排名

Data-Driven Price Prediction and Market Segmentation of Air BnB so both host and guest know about the price in the market.

Exploring hybride learning prototype

Applied the Random Forest model in my Regressor model both in Python and R