Statistics & Hypothesis Testing in Python using Jupyter Notebooks

Exploration of descriptive and inferential statistical methods using Python and Jupyter Notebook.

A notebook implementing A/B Testing on a new feature of Cookie Cats game

Website using Bootstrap to demonstrate how Mercedes has dominated the hybrid era in Formula One. Visualizations and data exploration displayed in a Jupyter Notebook.

Create two Jupyter Notebooks: use API calls to determine weather conditions for 500 cities around the equator; use Geoapify API based on the weather analysis to plan future vacations.

This repository contains 2 notebooks - scikit-learn.ipynb & scipy-stats.ipynb. The first provide a clear and concise overview of the scikit-learn package. The second provide a clear and concise overview of scipy-stats and an example hypothesis test using ANOVA..

In this series of notebooks, we will dive into each step of the data analysis process of a data set with some information about a list of cars and several attibutes, including their prices. So essentially we will develop a model to predict cars price.

The World Weather Analysis repo utilizes Python and Jupyter Notebook in conjunction with decision and repetition statements, data structures, Pandas, Matplotlib, NumPy, CitiPy, and SciPy statistics to retrieve and use data from OpenWeatherMap and Google Map API. The APIs are used to "get" requests from a server, retrieve and store values from a …