A cluster of Machine Learning algorithms

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

Models for Predicting Missing Stock Prices.

Deep Neural Network for Weather Time Series Forecasting

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

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

A Mathematical Intuition behind Linear Regression Algorithm

code will related to time series data and forecast

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.

Univariate Linear Regression in Python

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.

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

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

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

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.

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

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