Data Science

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Started on 9th January, 2019

Finished on 1st April, 2019


50%

Coding challenges

0%

Weekly projects


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Weekly projects

Marketing Analysis

Put in practice your Data cleaning abilities to uncover the results of this marketing survey

Data Cleaning Analysis
Your first Flask App

Simple webapp to practice how to use the Python/Flask web framework

Flask Webapp
OOP Hangman Game

Implement an OOP version of the Hangman game to learn fundamental object oriented design concepts

OOP Hangman
Gists Database

Connect with Github's Gist API and store gists in a local searchable database

Gist Database
rmotrgram

Build a clone of the Instagram social network using Python

Instagram Social
Hangman Game

Implement a Python versions of the famous Hangman game using functions, basic collections and control flow structures

Functions Hangman
Football Dictionaries

Learn advanced collections and control flow structures by playing with a football players dataset

Collections Football
US Census Analysis

Use your data wrangling and categorical analysis abilities to create a report using a big dataset

Data Wrangling Categorical analysis
HTTP Practice

Basic practice to learn HTTP concepts using the requests Python library

http requests
Predicting Diabetes With Machine Learning

Use your Machine learning skills to predict cases of Diabetes

Machine Learning Supervised Learning

Final project

Lou - final project

Moving Average Crossover Trading Strategies and Autocorrelation

Using simulated time series data we intend to demonstrate that the performance and parameterization of MA crossover strategies is positively related to the magnitude of AR coefficients.