Machine_Learning_Fundamentals

This repo contains a series of guided jupyter notebooks focusing on essential ML concepts.

Notebooks Included

Learning: Use the notebooks to deepen your understanding of various ML concepts.
Teaching: Share these notebooks with students to facilitate learning in classrooms or workshops.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
README.md		README.md
binary-classification.ipynb		binary-classification.ipynb
clustering-quick-start-guide.ipynb		clustering-quick-start-guide.ipynb
data-preprocessing.ipynb		data-preprocessing.ipynb
data-types-attributes-in-data-analysis.ipynb		data-types-attributes-in-data-analysis.ipynb
eda-data-science-jobs-and-salary-dataset.ipynb		eda-data-science-jobs-and-salary-dataset.ipynb
k-nearest-neighbors-basics.ipynb		k-nearest-neighbors-basics.ipynb
linear-regression.ipynb		linear-regression.ipynb
naive-bayes-tutorial.ipynb		naive-bayes-tutorial.ipynb