Work on your first Machine Learning competition with this step by step webinar!
Learn how to deal with a data science project starting from understanding the problem and data, building, tuning, and validating your model. You will also familiarise yourself with Kaggle and its competitions.
|| Prerequisites 👩💻
- Familiarity with Python
- Familiarity with Machine Learning
|| Key takeaways ✅
- Importance of Kaggle for data science practitioners
- Solve your first data science problem
- Understand the data
- Data cleaning and preprocessing
- Feature engineering
- Building machine learning models
- Model evaluation and tuning
- Comparing different ML models
Find that interesting? Learn about our data science bootcamp:
https://codelabsacademy.com/courses/data-science
Useful links:
1. Titanic Kaggle link: https://www.kaggle.com/c/titanic
