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Solutions to Machine Learning Challenges at the Metis Data Science Program

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KevinMars/Machine-Learning

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Challenges

Regression - (Worked on with instructor) OLS Linear Regression

Supervised Learning - Classification using K Neighbors, Logistic Regression, GaussianNB, Decision Tree, Random Forest, SVC

AgglomerativeClustering, PCA, LDA - Clustering information about Ebola that I scraped from Quora.com using Hierarchical Clustering, Feature Reduction using PCA, and Topic Modeling using Latent Dirichlet Allocation

MongoDB - Queries in Mongo using PyMongo

SQL - Queries in SQL

Kaggle Titanic - Quick use of Classifiers on Titanic Data at Kaggle.com (~79% accuracy of survivors)

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