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ab-testing

Understanding the results of an A/B test run by an e-commerce website, to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer. Analyzing the results by probability, hypothesis testing, and regression to reach a conclusion.

awesome-readme

A guide to writing an Awesome README. Read the full article in Towards Data Science.

bike-sharing-data-visualizations

Understanding how ride count and duration are affected by time and user data

bikeshare

Using Python to explore data; Coding to import the data, computing descriptive statistics, and answering questions about it through an interactive experience in the terminal.

dummy-landing-page

human-development-index

Going through the data analysis process; Asking Questions, Wrangling; Gathering, Assessing, Drawing Conclusions, and Communicating Results, Exploratory Data Analysis EDA, Cleaning, using Python libraries NumPy, pandas, and Matplotlib, through a Jupyter Notebook

supervised-machine-learning

Project: Finding Donors for CharityML

weather-journal-app

An asynchronous web app that uses Web API and user data to dynamically update the UI