Repository containing portfolio of data science projects completed by me for self learning purposes. Presented in the form of iPython Notebooks.
Data Visualization:
- Foreign Tourism in Spain Project: Study in python about the Tourism from 2001 to 2018
- Coursera: Data Visualization Assignment. Using Matplotlib to visualize Data Science Survey; Folium to visualized in a map the Crime in San Francisco
Machine learning
- Predict Titanic Survival: Codecademy project using Machine Learning to predict if a passenger survived using Logistic Regression.
- Perceptron Logic Gates: Codecademy project using perceptrons to model the fundamental building blocks of computers.
- Predicting Income: Codecademy project, using random forest to predict whether or not a person makes more than $50,000.
Decision Trees
- Find the Flag: Codecademy project using Decision Trees to predict the continent of flags based on features like color and shapes.
Linear Regression
- Yelp Rating Regression Predictor: Codecademy project using a sample data from Yelp to predict the Yelp rating of a restaurant.
- Reggie Linear Regression project: Codecademy linear regression project, predicting the bounciness of different balls in order to optimize the pit.
Web Scraping and data cleaning:
- Turtle Shelter: small Codecademy practise where data from a website is converted into a dataframe.
- Chocolate_scraping: Codecademy project, using Beautiful Soup to build a pandas dataframe from a website with 1700 reviews of cholcate bars.
- US Census data cleaning exercise at Codecademy
SQL in Python:
- Exercise from IBM Cognitive Class, learning how to use SQL with Python.
- SQL World Population: Codecademy SQL Project.
Using definitions:
- Codecademy project Games of Chance: Flip the coin, Cho-han, Cards and Roulett Games. Creating the games from scratch and testing them with some examples.