The purpose of this project was to segment customers into 3 groups(low-value customers, medium-value customers, and high-value customers) and run a market basket analysis on each group, looking at what are the most frequently bought together products. This would help a marketing team create campaigns that are tailored to the specific groups' needs, rather than trying to market to everyone with a single strategy.

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This was one of my first machine learning project I worked on. The goal of this project was to predict prices based on the given features.

I used Pandas to load my data and do some initial analysis. There were no missing values so I didn't have to clean.

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For this project I wanted to analyze data of the best rated football (soccer) players on FIFA21. FIFA is popular video game played by millions of people around the world each year. My goal for this project was to figure out what these players have in common and what makes them the excellent players they are .

I used Pandas to upload and clean the data before analyzing it . For the visualizations I used Matplotlib, Seaborn and Plotly for interactive charts.

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