alexchen0 / datasciencedemos

All work done in Data Science Pipeline Course

DataScienceDemos

All work done in Data Science Pipeline Course nearly all of these jupyter notebook files require additional download of a subset of yelp dataset. The dataset is specified in the naming convention of the file. Alternatively, the HTML is provided for you.

Guide to what's in each file:

Data Cleaning and Management -dataset manipulation, combination, cleaning, etc -openrefine usage

Exploratory Data Analysis -Histogram -Boxplot -Scatterplot -QQ plot -Star Plot

Statistics -Chi Square -Correlation Coefficients -Association Rule -T Testing

Machine Learning -Regression techniques with Gradient boosting -Classification with Logistic Regression

Feature Engineering -Cross validation with Gradient boosted regression -Gaussian Random Projection with standard scaling -PCA

Sentiment Analysis and Visualization -Textblob -visualization of data with graphical tools -Natural Language Processing

For Project, See https://github.com/DanielWang2029/Amazon-Price-Prediction