My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.
Project 2 Group C - Predicting FinTech Bootcamp Graduate Salaries
Genetic assignment of individuals to known source populations using network estimation tools.
Regression Machine Learning Project
It was a competition on KAGGLE for prediction on the most sales products on bikes via their features
Predicting house price
This is a project developed as part of the Foundations of Data science course at New York University
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.
Kaggle challenge asking to predict the final price of each home based on their description/properties.
Metis project 2/7
"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.
NYU CSCI-GA 3033 Final Project
ML | Regression Analysis| Random Forest| XGBoost| Gradient Boost| EDA| Feature Engineering| Feature selection
Practical Implementation of Linear Regression on Boston Housing Price Prediction
Repository about the projects in the course of Modeling and control of cyberphysical systems at PoliTo in 2022/2023
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
Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning
Analysis and Modelling data from King county housing data
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