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
This is a project developed as part of the Foundations of Data science course at New York University
Practical Implementation of Linear Regression on Algerian Forest Fire Dataset.
"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.
Repository about the projects in the course of Modeling and control of cyberphysical systems at PoliTo in 2022/2023
Kaggle challenge asking to predict the final price of each home based on their description/properties.
Metis project 2/7
A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets
A Machine Learning exploration evaluating various models to predict Airbnb prices, culminating in an optimized Gradient Boosting Regressor.
Advanced Regression model on Housing Data from Australia for my Upgrad - IIITB AI ML PG Course
Regression Machine Learning Project
Predictive Analytics for Real Estate Investment: A Regression Model Approach for Surprise Housing in the Australian Market using Regularization methods (Ridge and Lasso)
Predicting annual highest of sneakers on StockX
Laptop price prediction model using XGB, Ridge, Lasso and SciKit-learn's Linear Regression. In the end, I deployed the best one using Joblib and Gradio.
In this project, I build 20+ models predicting Spotify song popularity. These include neural networks, Lasso and Ridge regression models. I also leverage OpenAI chat-completion API to engineer features from song lyrics.
Regression techniques
Machine Learning Group Project
Final Group Project for Advanced Data Science for Public Policy @ McCourt
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