Implementation of Linear regression on Boston House Pricing and Diabetes data sets using python.

Linear Regression From Scratch

A set of projects I worked on as part of my PG Diploma in Data Science Program

This repository contains our project on Stock Market Price prediction Using Historical Data

Stock prediction model with data imported from quandl

Simple regression problem where by pre-loaded data I have shown different regression algorithm and their performance on data.

Stock Market Forecasting with CoreML in Swift

project by team sudo-solve in kodekochikode hackathon

Life Expectancy predictor using Linear Regression

〰️PolyRegJS is for visualizing polynomial regression model training

Algorithm Development: LinearRegression | Developer: Dominic Jiang

Analyse OverFitting of data

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley. And an intent classifier which can classifies a query into one of the 21 given intents.

Some simple machine learning algorithm

Machine learning algorithms in Data Science

Easy statistical testing on the web

A Fun Project - Using LinearRegression, Predicting the Value.

Using Linear regression I predict the housing prices in Portland considering several features. Secondly I predict the profits that a food truck will generate for a restaurant franchise in a city.

This Repository is python code which packages some commonly used methods.

In Supervised Machine Learning, Regression algorithms helps us to build a model by which we can predict the values of a dependent variable from the values of one or more independent variables. For example, predicting future demand for a product based on previous demand. In this tutorial, we will use linear regression to predict salaries using Linear Regression based on years of experience using Python or R

Price prediction model

Invent something - any kind of idea or something you want to do. Lets automate it..

This project is Machine Learning Based designed to help the investors know the perfect time so that they could invest in stocks.This project is carried out using python.

Machine learning model is used to get the accurate prediction for house's price using linear regression model using house size, age and rooms size as feature vector.

Machine Learing for myself

Linear regression in a dataset about computers performance. Dataset with 6 attributes and 209 instances.