My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.
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Updated
May 26, 2022 - Jupyter Notebook
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.
It was a competition on KAGGLE for prediction on the most sales products on bikes via their features
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.
Regression Machine Learning Project
This is a project developed as part of the Foundations of Data science course at New York University
Predicting house price
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.
Kaggle challenge asking to predict the final price of each home based on their description/properties.
Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning
"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.
Metis project 2/7
Practical Implementation of Linear Regression on Boston Housing Price Prediction
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
Repository about the projects in the course of Modeling and control of cyberphysical systems at PoliTo in 2022/2023
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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