Project Highlights:
- Conducted Exploratory Data Analysis using distplot, histogram, and KDE
- Solved missing data issue
- Established how to find the optimal number of clusters using elbow method
- Applied K Means in scikit learn to perform market segmentation
- Built and trained autoencoder models in keras
- Applied PCA to perform dimensionality reduction using real world dataset