This repository is a compilation of simple data analysis and machine learning projects perfomed in the Python/Jupyter environment. It is for the purpose of teaching machine learning methods. It teaches the uses of Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Matplotlib, etc. We will learn both Supervised and Unsupervised learning methods.
- Hypothesis Testing (AnalysisOfGoogleAppRatings) In this short project, we perform analysis of the user rating of free and paid apps on Google Play to test if there is a statistically significant difference between them.
- Supervised Learning Methods (UserVehiclePrices) In this short project, we apply supervised learning methods to a dataset of used cars listed on Craigslist to precit prices of used cars.