Data Science

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Started on 9th April, 2019

Finished on 27th June, 2019


Web Development with Django

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Started on 9th January, 2019

Finished on 1st April, 2019


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Weekly projects


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Weekly projects

Django Ecommerce API with DRF

Implement the Products API for Ecommerce project using Django REST Framework

django DRF
Django Ecommerce API Authentication

Implement Authentication for the Products API in the Ecommerce project

django DRF
Django Basic Views

django views
HTTP Practice

Basic practice to learn HTTP concepts using the requests Python library

http requests
Django Ecommerce API Heroku Deploy

Deploy the Ecommerce API project into Heroku

django DRF
Django Ecommerce API with CBVs

Implement the Products API for Ecommerce project using Django's CBVs

django CBVs
OOP Hangman Game

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

OOP Hangman
Hangman Game

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

Functions Hangman
rmotrgram

Build a clone of the Instagram social network using Python

Instagram Social
Gists Database

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

Gist Database
Django HTML Forms

django html
Football Dictionaries

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

Collections Football
Django Ecommerce Forms

Expand the previous Ecommerce Django project using Django Forms and ModelForms

django authentication
Your first Flask App

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

Flask Webapp
US Census Analysis

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

Data Wrangling Categorical analysis
Predicting Diabetes With Machine Learning

Use your Machine learning skills to predict cases of Diabetes

Machine Learning Supervised Learning
Marketing Analysis

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

Data Cleaning Analysis