springboard-exercises's Introduction

Springboard-Exercises

The excerises contained in this repository are related to Springboard's coursework. It contains the following:

sliderule_dsi_json_exercise.ipynb in JSON Wrangling
This IPython notebook showcases JSON parsing and data wrangling. It aims to answer the following questions:
A. Find the 10 countries with most projects.
B. Find the top 10 major project themes (using column 'mjtheme_namecode').
C. In 2. above you will notice that some entries have only the code and the name is missing. Create a dataframe with the missing names filled in.
sliderule_dsi_xml_exercise.ipynb in XML Wrangling
This IPython notebook showcases XML parsing and data wrangling. It aims to answer the following questions:
A. Find the 10 countries with the lowest infant mortality rates.
B. Find the 10 cities with the largest population.
C. Find the 10 ethnic groups with the largest overall populations (sum of best/latest estimates over all countries).
D. Find the name and country of a) longest river, b) largest lake and c) airport at highest elevation.
Bike_Share_Story.ipynb
This IPython notebook showcases a data story that explores Capital Bikeshare's historical data (2015 Q3 - 2016 Q3).
It aims to answer questions regarding counts, correlations, interesting trends, etc. in the data.
Time_Series
This folder holds 5 notebooks related to time series analysis using Python and Pandas. These exercises follow the video found here: https://www.youtube.com/watch?v=JNfxr4BQrLk&feature=youtu.be
EDA - Stats
This folder holds 3 notebooks related to exploratory analysis and statistics using Python and Pandas.
Machine Learning
This folder holds several notebooks containing mini projects that focus on implementing machine learning algorithms in Python using various libraries such as sklearn, statsmodels, seaborn, and matplotlib.

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