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numpy-pandas-visualization-exercises

This repo contains exercises for Python's data science libraries.

pandas_exercises

Practice your pandas skills!

pokemon-stats

Predicting legendaries and analyzing their common traits

pygame-tutorials

This Python PyGame tutorial will help to learn the Pygame from basic to advance with the help of good and well-explained examples.

python-exercises

This repo contains exercises for Python.

python-oop-ll

Python OOP exercises from LinkedIn Learning

python-pdf2audio

This project is focused on using python to create an audio file from a PDF.

regression-exercises

This repo contains exercises for Machine Learning Regression Methods.

spark-exercises

This repo contains exercises for Distributed ML: Using Spark.

spotiscry

What makes a song reach the top of the charts while others flop? Using data from Spotify, our team will determine what features influence song popularity - such as the danceability or song length. We will then predict a song’s popularity.

sql-murder-mystery

Fun challenge to practice SQL!

statistics-exercises

This repo contains exercises for statistics related to data science.

telco_churn_classification

Using Logistic Regression, I built a model that predicted whether or not a customer would leave the Telco company. Among the data acquired using SQL, and cleaned using pandas, I was able to find the drivers of churn. With data on over 7000 customers, I was able highlighting key features that had the most impact.

test-driven-dev-udemy

test-driven-development

time-series-exercises

This repo contains exercises for Time Series Analysis.

zillow_regression_project

Using Polynomial Regression, I created a model that would predict the log error for the Zillow zestimates. In my analysis with a partner, we gathered data using SQL, and cleaned the data using pandas to include common single unit properties purchased from May-June 2017. We explored the distribution of tax rates by county among other key features. Our final model predicted 24% better than the baseline using the average zestimate.