Machine-Learning

This repository contains teaching materials for Machine Learning.

You may immediately play around with the notebook through Google Colaboratory. Here are the links:

Introduction

^{for comments, corrections, suggestions, please email: judemichaelteves@gmail.com or jude.teves@dlsu.edu.ph}

Name		Name	Last commit message	Last commit date
Latest commit History 58 Commits
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
clustering.ipynb		clustering.ipynb
cnn.ipynb		cnn.ipynb
ensemble_models.ipynb		ensemble_models.ipynb
explainability_interpretable_models.ipynb		explainability_interpretable_models.ipynb
explainability_model_agnostic.ipynb		explainability_model_agnostic.ipynb
huggingface_computer_vision.ipynb		huggingface_computer_vision.ipynb
huggingface_intro.ipynb		huggingface_intro.ipynb
kaggle_30_days_ml.ipynb		kaggle_30_days_ml.ipynb
knn.ipynb		knn.ipynb
linear_regression.ipynb		linear_regression.ipynb
linear_regression_homework.ipynb		linear_regression_homework.ipynb
ml_python.ipynb		ml_python.ipynb
ml_python_exercise.ipynb		ml_python_exercise.ipynb
ml_python_exercise_answered.ipynb		ml_python_exercise_answered.ipynb
neural_network.ipynb		neural_network.ipynb
outlier_detection.ipynb		outlier_detection.ipynb
practical_ml.ipynb		practical_ml.ipynb
practical_ml_auto.ipynb		practical_ml_auto.ipynb
python_ml_quiz.ipynb		python_ml_quiz.ipynb
random_forest.ipynb		random_forest.ipynb
transfer_learning.ipynb		transfer_learning.ipynb