A cluster of Machine Learning algorithms

Deep Neural Network for Weather Time Series Forecasting

A Mathematical Intuition behind Linear Regression Algorithm

A demand forecasting model for an E-Commerce retailer, built using KPIs from Google Analytics & implemented in RStudio. Models: time-series, ARIMA, Regression (multivariate & dynamic). Open-source & contributions welcome.

Models for Predicting Missing Stock Prices.

A Collection of Utilities for Modeling Conditional Data Using Generalized Linear Models

Basic Feed Forward Neural Network Implementation with ELU activations and MSE loss/Cross entropy loss for uni-variate regression. Uses Optuna for Hyperparameter search

Using auto regressive time series models to fit univariate equations in data.

This is an implementation of univariate linear regression from scratch in Python

linear regression with gradient descent-univariate and multivariate on house pricing dataset

This includes various assignments I worked on learning Data Mining in R Studio

Univariate model that predicts employee salary based on their years of experiences, using gradient descent

This project focuses on predicting stock prices using a univariate linear regression algorithm, built entirely from scratch without the use of any machine learning libraries such as Scikit-learn or TensorFlow.

Simple Linear Regression in Python using Scatter Plot. Update it with your dataset. This code will work for any dependency of form H:X->Y . I have attached a pdf document of my own notes for this model. Feel free to download. Note : The pdf is for help purpose. Any type of reuse or restructuring is subject to copyright.

Univariate Linear Regression using sklearn on Diabetes Dataset

Machine Learning topics and code examples from coursework

Comparing the trend of land temperature and forecasting in 3 different areas of the world