Machines can see, hear and learn. Welcome to the future 🌍
The repository was built with a tree-like structure in mind, it contains everything that you need to getting started with Machine Learning. A lot of the fear people have of Machine learning is due to those unnecessary complex terms, this stops people from going into Machine Learning. It's not true!, anyone can do ML, and we plan to make that happen.
Here is a resource to get you started with the basics and fundamentals of Python.
- Machine Learning Concepts
- Machine Learning Repositories
- Machine Learning Courses/Videos
- Machine Learning Roadmap
- Machine Learning Articles
- Machine Learning Podcasts
Notebook | Google Colab | Kaggle | Author |
---|---|---|---|
Data Preprocessing | Colab Link | Kaggle Link | Edem Gold |
Supervised Learning | Colab Link | Kaggle Link | Edem Gold |
Logistic Regression | Colab Link | Kaggle Link | Edem Gold |
Random Forest | Colab Link | Kaggle Link | Edem Gold |
Decision Tree | Colab Link | Kaggle Link | Edem Gold |
Support Vector Machine | Colab Link | Kaggle Link | Edem Gold |
Classification Models | Colab Link | Kaggle Link | Edem Gold |
Accuracy Score | Colab Link | Kaggle Link | Edem Gold |
Confusion Matrix | Colab Link | Kaggle Link | Edem Gold |
F1 Score | Colab Link | Kaggle Link | Edem Gold |
Precision Score | Colab Link | Kaggle Link | Edem Gold |
Recall & Sensitivity Score | Colab Link | Kaggle Link | Edem Gold |
Specifity Score | Colab Link | Kaggle Link | Edem Gold |
Linear / Single Variable Regressors | Colab Link | Kaggle Link | Edem Gold |
Feel free to add more resources to this repo by either creating an issue or making a Pull Request.
See our contribution guidelines to get started.
This repository is under an MIT License.