Problems included in these repository have helped me draft a workflow in my methodology:
- Data Preparation: Exploratory Data Analysis and Cleaning.
- Feature Exngineering : perform Feature Extraction, Selection and Scaling.
- Model Training: Training an ML algorithm and perform model evaluation.
- A hierarchical approach to problem-solving using simple-to-complex solutions to problems in Supervised Machine Learning.
- Using classes and functions to implement DRY.
- Exposure to various ML libraries.
- Regression
- Classification
- Time-series Analysis
- Natural language processing
- Recommender systems
- Computer vision