Predict the prices of houses based on certain geographical and other factors.
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Updated
Dec 24, 2016 - R
Predict the prices of houses based on certain geographical and other factors.
Analyzing transactions of a retailer to predict promotional items.
Social and Online Networks Analysis
Data Mining and Predictive Analytics : Daniel T Larose & Chantal D Larose Wiley
Survival modelling using Cox proportional hazard regression model
Source code and Visualizations
This repo contains works on various academic projects using real-life data for modelling and prediction
A $1.2 million dollar competition to estimate home values. Run by Zillow and Kaggle.
NFL is one of the most followed game having millions of followers all around the world.The current work involves the prediction of NFL match results by using a custom model incorporating a deep neural network and ticket prices for the match using regression modelling. This work considers the most important factor in NFL, the momentum. The predic…
This project is an attempt to analyse world happiness using various factor across multiple countries
Interactive soccer exploration with R
Worked on building a predictive model by considering multicollinearity and other Machine learning concepts related to factors or variables using R programming.
Extensive Analysis and Prediction on the Bank Marketing Dataset.
Prediction of electricity consumption of buildings in the Pacific Region
Machine Learning Key Projects
Prediction of the adjusted electricity sales using simple machine learning algorithms like linear regression, GAMs, MARS and Random Forests
Stock Portfolio Performance by Weighted Stock Selection - The project quantitatively predicts the factors that must be given the most and least weights to obtain obtain the highest returns, risk and win-rates while developing a S&P500 portfolio
A set of projects I worked on as part of my PG Diploma in Data Science Program
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