Ask the right questions, manipulate data sets, and create visualizations to communicate results - Coursera
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Updated
Apr 27, 2017
Ask the right questions, manipulate data sets, and create visualizations to communicate results - Coursera
Implementation of Multivariate Linear Regression algorithm using Stochastic Gradient Descent technique to predict the quality of white wine using Python.
This is personal AI shopping assistant android app, which helps in grocery shopping reminders
This is personal AI shopping assistant android app, which helps in grocery shopping reminders
MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression
Predicting solar generation based on weather forecast - a project which was part of Machine Learning course at BITS Pilani
Supervised Machine Learning Using Regression Analysis
We implement efficient procedures written in C++ for fitting approximate solutions to multivariate total variation denoising problems. The algorithm uses the alternating direction method of multipliers (ADMM).
Predicting House Price from Size and Number of Bedrooms using Multivariate Linear Regression in Python from scratch
Creating a new linear regression class.
Implementation scripts of regression algorithms in python from scratch.
This project utilizes data on current weather forecast and energy consumption within a particular area to predict when to turn your thermostat and other devices on/off. Along with the Raspberry Pi it uses a temperature sensor as a peripheral.
Using multivariate regression to predict o-ring failure in the Challenger space shuttle.
Image Recognition and Multi-class classification using Multi-variate regression and Neural Networks
Datascience hands on code
python implementation of process mining and machine learning algorithm
An exploratory analysis of the Kaggle bikeshare data set with the application of linear regression models, which are not optimal for this particular problem of predicting bikes rented.
Predicting Super Bowl final scores in R using supervised machine learning
A repository for my basic end-to-end Machine Learning project.
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