Point-of-Sale (POS) for Sweet Avenue Coffe • Bakeshop

Car Price Predictor using Linear Regression and Quikr Car Dataset

"Stock Predictor" project basically aims to provide a visual representation and analysis of data related to time-series data which is constantly changing. This provides a dashboard to user displaying current trends and stocks data which uses ML like "LSTM" and "Random Forest" model.

Linear regression is a statistical method for modeling relationships between a dependent variable with a given set of independent variables. Note: In this article, we refer to dependent variables as responses and independent variables as features for simplicity.

Machine Learning: LSTM Network

Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"

This project involves predicting Total Yield Energy of a gas turbine using linear regression models.

PCA For Dimension Reduction And Visualization, Temperature-Yield Prediction Via Linear Regression, And Linear Fit Optimization Using Gradient Descent.

Deep Learning and Text Analysis: Compare Linear Regression and Neural Network Results

These are my notes, lessons, models, and code for topics on machine learning. Topics include everything from data pre-processing to logistic regression intuition, and more!

linear regression python implementation

The goal of this project is to build a model that can accurately predict the price of a house based on its features.

A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries

Library For Classifying the MNIST Dataset

This repository contains applications of various topics under Machine Learning

Mathematics for Intelligent Systems-1 Project on Student Grade Prediction using Linear Regression

Hello! All codes belong to me. I created those codes for my Machine Learning Lab Class. Enjoy it!

Using regression analysis to find the relation between water temperature and salinity in the CalCOFI dataset

Machine learning models and approaches

Machine learning project to predict NYC property prices.