Analysis of EV Charging Stations in NY

Aim: To see patterns of existing charging stations and define key features in terms of market competitiveness

Data sources:

Data gathering: Web scraping raw data, API requests, public repo
Data preparation: Exploratory analysis, feature engineering, handling of missing values, normalization, one-hot encoding, outlier detection
Model training: Using several algorithms (K-means clustering, random forest, xgboost, etc)
Model optimization: Hyper parameter tuning
Model evaluation: performance measures, accuracy, cv