A collection of Data Science and Data Analysis projects to demonstrate my skill set in Python, Pandas, R, and machine learning
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Updated
Mar 7, 2023 - Jupyter Notebook
A collection of Data Science and Data Analysis projects to demonstrate my skill set in Python, Pandas, R, and machine learning
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
My solution to the House Prices Challenge on Kaggle.
Determining the best model to predict house prices in Kings County, Seattle.
This repo contains assignments for Coursera course (ML Foundations: A Case Study Approach
Building Toronto Housing dataset from scratch to predict real estate prices
Training and Deployment of model which predicts house prices around Boston using Neural Networks (keras)
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Machine Learning Algorithms using GraphLab
Project work and Assignments for Machine learning specialization course on Coursera by University of washington
Advanced Regression Techniques to predict housing prices.
Predicting house prices in Boston with python/scikit-learn
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