Implementation of a Partial Least Squares Regressor

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

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

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

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

Predict sales prices and practice different machine learning regressors.

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

Solving Industry based and Solution based problems through Neural Networks

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

My Machine Learning course projects

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

Weather prediction with Gaussian Process Regression

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.

Python implementation of Decision Tree Regression and Random Forest Regression. Efficient algorithms for predictive modeling. Ideal for regression tasks in machine learning.

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

Neural network library in C++

Gradient Boosting prediction for the profit of 50 american startups

Intelligent systems Jupyter notebooks.

Exploring hybride learning prototype

Machine Learning model to predict the price of a house taking a few parameters like crime rate, number of rooms etc. Uses a pre-existing dataset from the UCI ML repository for training the model.