Data Science Python Notebooks

Data science and machine learning projects, click each link to see the Jupyter notebook.

ML-classification

Product Sentiment Analysis

Classification model that predicts a class (positive/negative sentiment) from input features (text of the reviews, user profile information, etc.)

ML-clustering

Related Article Clustering

Analyzes text data to estimate related articles using a nearest neighbor model.

ML-recommenderSystem

Song Recommender

Matrix factorization model that recommends songs based on data features. Performance is measured using a precision recall curve.

ML-regression

Predicting House Prices

Linear regression model that predicts a continuous value (house price) from input features (square footage, # of bedrooms and bathrooms, etc.)

ML-deepLearning

Image Classification

Uses deep learning features to predict image contents.

Image Retrieval

Uses deep learning features and a nearest neighbor model to retrieve similar images.

Python Pandas

Fremont Bridge Analysis Part 1

Fremont Bridge Analysis Part 2

Part 1: Analysis of Fremont Bridge bike traffic over time using pandas and matplotlib Part 2: Unsupervised Analysis using sklearn