My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.

Regression Machine Learning Project

Project 2 Group C - Predicting FinTech Bootcamp Graduate Salaries

It was a competition on KAGGLE for prediction on the most sales products on bikes via their features

Genetic assignment of individuals to known source populations using network estimation tools.

Predicting house price

House Price Prediction can help the customer to arrange the right time to Purchase a House. It is An - ML based Approach which Predicts the Estimated Price of Housing in Mumbai City.

"Learning R for data scientists." This phrase describes the process of acquiring the skills and knowledge necessary to use the R programming language for data analysis.

Kaggle challenge asking to predict the final price of each home based on their description/properties.

Metis project 2/7

NYU CSCI-GA 3033 Final Project

A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets

Advanced Regression model on Housing Data from Australia for my Upgrad - IIITB AI ML PG Course

ML | Regression Analysis| Random Forest| XGBoost| Gradient Boost| EDA| Feature Engineering| Feature selection

Practical Implementation of Linear Regression on Boston Housing Price Prediction

Analysis and Modelling data from King county housing data

Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning

This is a project developed as part of the Foundations of Data science course at New York University

Repository consisting of the notebooks I worked on to submit my courseworks at Royal Holloway

Practical Implementation of Linear Regression on Algerian Forest Fire Dataset.