Market Segmentation using Machine Learning and Data Analysis

• Verifying data quality, and/or ensuring it via data cleaning and handling imbalanced data.• Finding available datasets online that could be used for training.• Defining the preprocessing or feature engineering to be done on a given dataset.• Defining data augmentation pipelines.• Training models and tuning their hyperparameters.• Analyzing the errors of the model and designing strategies to overcome them.