For the Second meetup on 8th April
Let’s refine the model and get more insights
Agenda
- Improve our linear regression model (feature selection and parameter tuning)
- We will explore the different data preprocessing techniques and their pros. and cons.
- Feature transformation and feature engineering
- How linear regression performs better than deep learning for house pricing competition?
Material
- Presentation
- Hands-on - A kaggle kernel
Other Links
- Link Back to Main Page
- Link For Reporting Issues or Initiate Discussion
- Link Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow by Sebastian Raschka (highly recommended book)
- Link An Introduction to Statistical Learning with Applications in R (recommended book)
- List of Free Data Science Books