Codecademy Machine Learning Projects

This repository contains completed projects from Codecademy's Supervised and Unsupervised Machine Learning Lessons.
I also intend to add some personal projects.
Always check this file as links it will be updated with links to the projects as and when they are added.

Supervised Learning Projects

1. Linear Regression: Honey Production
   Fit a line to data about the honeybee population decline in the United States.
2. Multiple Linear Regression: Yelp Regression Project
   Use real data from Yelp to predict the Yelp rating of a restaurant.
3. K-Nearest Neighbor: Breast Cancer Classifier
   A K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer.
4. Logistic Regression: Predict Titanic Survival
   A Logistic Regression model to predict whether an imaginary passenger who boarded the Titanis will survive or not.
5. Decision Trees: Find the Flag
   Guess the continent a flag comes from.
6. Random Forests: Predicting Income with Random Forests
   Predict whether a person makes more than $50,000 or not.
7. Naive Bayes Classifier: Email Similarity
   Find how difficult it is to distinguish between emails of different categories.
8. Supervised Machine Learning Cumulative Project: Determine virality using KNearest Neighbor
   Using some features of a tweet and the account owner can you determine whether a tweet would go viral or not?