Machine Learning introduction with notes, projects, homework from Udemy. Best learning source!
-
Updated
Jul 5, 2020 - Jupyter Notebook
Machine Learning introduction with notes, projects, homework from Udemy. Best learning source!
Interdisciplinary Approach to Science, Technology, Engineering and Mathematics - STEM in Education- Lectures site
TOP13% solution for the Titanic-Kaggle competition using a Gradient Boosting Classifier. Moreover, implementation of a Streamlit App to play with the models.
Add a description, image, and links to the machine-learning-introduction topic page so that developers can more easily learn about it.
To associate your repository with the machine-learning-introduction topic, visit your repo's landing page and select "manage topics."