Introduction

Getting started with Google Colab

Load dataset

Split to X and y

Split data to train/test set

About DiscoverDataScience

Model building with Linear regression

Model building with Random forest

Model comparison

Data visualization

Conclusion

Data Professor

In this video, you will learn how to build your first machine learning model in Python using the scikit-learn library.

🔗 Colab https://colab.research.google.com/
🔗 Code https://github.com/dataprofessor/first-ml
🔗 GitHub https://github.com/dataprofessor
🔗 Blog https://towardsdatascience.com/how-to-build-a-machine-learning-model-439ab8fb3fb1

📖 DiscoverDataScience https://www.discoverdatascience.org
📖 https://www.discoverdatascience.org/articles/journey-through-data-science-with-the-data-professor/

Time stamp
0:00 Introduction
0:15 Getting started with Google Colab
1:30 Load dataset
6:52 Split to X and y
8:30 Split data to train/test set
11:45 About DiscoverDataScience
13:00 Model building with Linear regression
21:55 Model building with Random forest
26:00 Model comparison
27:55 Data visualization
30:32 Conclusion

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Build your first machine learning model in Python

Build your first machine learning model in Python

Build your first machine learning model in Python

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