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

This project utilizes univariate and multivariate linear regression, to predict the temperature the next day, analyzing the provided dataset. The file contains a line by line walkthrough of the code, with an explanation of each step, along with ample visual and verbal analysis.

Machine Learning topics and code examples from coursework

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

code will related to time series data and forecast

Univariate Linear Regression using sklearn on Diabetes Dataset

Univariate Linear Regression Model for Predicting Weight based on Height

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.

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

Problem to solve: How long do you have to study to get a specific score. We can try to see a pattern in that data and predict a score based on how many hours the subject studies.

A cluster of Machine Learning algorithms

A Mathematical Intuition behind Linear Regression Algorithm

Linear regression model using gradient descent from scracth.

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

Univariate model that predicts employee salary based on their years of experience.

Models for Predicting Missing Stock Prices.

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

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

Deep Neural Network for Weather Time Series Forecasting