My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.
Project 2 Group C - Predicting FinTech Bootcamp Graduate Salaries
Metis project 2/7
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.
Genetic assignment of individuals to known source populations using network estimation tools.
This is a project developed as part of the Foundations of Data science course at New York University
Regression Machine Learning Project
Predicting house price
A repository containing machine learning projects and models.
House-Prices Advanced Regression Techniques Competition Solution
Data Models in R for Multiple Linear Regression and three models (Ridge, Lasso, and Elastic-Net), to predict Medicare claim costs of Type 2 diabetes patients with other diagnoses. We used Data from Entrepreneur’s Medicare Claims Synthetic Public Use Files (DE-SynPUFs) for our analysis.
"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.
Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning
Your all-in-one Machine Learning resource – from scratch implementations to ensemble learning and real-world model tuning. This repository is a complete collection of 25+ essential ML algorithms written in clean, beginner-friendly Jupyter Notebooks. Each algorithm is explained with intuitive theory, visualizations, and hands-on implementation.
Advanced Regression model on Housing Data from Australia for my Upgrad - IIITB AI ML PG Course
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
NYU CSCI-GA 3033 Final Project
ML | Regression Analysis| Random Forest| XGBoost| Gradient Boost| EDA| Feature Engineering| Feature selection
Repository consisting of the notebooks I worked on to submit my courseworks at Royal Holloway
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