This is my personal repository of finished projects from the Data Scientist in Python Learning Path offered by Dataquest.io as part of the Data Science for Social Good Scholarship recipients.
Quick Links to Jupyter Notebooks:
- Python Fundamentals - Understanding Application Profitability - Profiles for Users by Users
- Python Intermediate - Exploring Hacker News Posts
- Pandas and NumPy Fundamentals - Exploratory Analysis of eBay Car Sales Data
- Exploratory Data Visualization - Visualizing Earnings Based On College Majors
- Storytelling Through Data Visualization - Visualizing The Gender Gap In College Degrees
- Data Cleaning and Analysis - Cleaning and Analysis of Employee Exit Surveys
- Data Cleaning Project - Analysis of SAT Scores in New York High Schools
- The Force is Strong with This One - Star Wars Survey Data Analysis
- SQL Fundamentals - Analysis of CIA Factbook Data Using SQL
- Intermediate SQL for Data Analysis - Answering Business Questions using SQL
- Machine Learning Fundamentals - Predicting Car Prices Using k-Nearest Neighbors
- Prediction of House Sale Prices with Linear Regression
- Machine Learning in Python Intermediate - Predicting the Stock Market
- Decision Trees - Hourly Bike Rental Prediction
My goal is to be industry-ready in making end-to-end projects using Python especially for data analytics and statistics.