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.

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

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

Predict sales prices and practice different machine learning regressors.

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

My Machine Learning course projects

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

Weather prediction with Gaussian Process Regression

Solving Industry based and Solution based problems through Neural Networks

Statistical Lotto/Lottery Prediction 7/39 GradientBoostingRegressor

Classic ML algorithms in Oberon-07 for obnc or akron compiler

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

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.

Churn , IT dataset , ADA Boost Classification model

国内基金数据获取及回归排名

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

Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level