ML_from_Scratch

Trying to implement basic ml algorithms from scratch in python. I have also made videos explaining these algorithms...

Gradient Descent

airfoil_noise_data.csv (converted from the .dat file available at https://archive.ics.uci.edu/ml/datasets/airfoil+self-noise)

Donor:
Dr Roberto Lopez
robertolopez '@' intelnics.com
Intelnics

Creators:
Thomas F. Brooks, D. Stuart Pope and Michael A. Marcolini
NASA
Breast_cancer_data.csv (taken from https://www.kaggle.com/merishnasuwal/breast-cancer-prediction-dataset)

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
Breast_cancer_data.csv		Breast_cancer_data.csv
K-means Clustering.ipynb		K-means Clustering.ipynb
KNN Classification + Regression.ipynb		KNN Classification + Regression.ipynb
README.md		README.md
airfoil_noise_data.csv		airfoil_noise_data.csv
decision tree classification.ipynb		decision tree classification.ipynb
decision tree regression.ipynb		decision tree regression.ipynb
linear regression.ipynb		linear regression.ipynb
logistic regression.ipynb		logistic regression.ipynb
naive bayes.ipynb		naive bayes.ipynb
sgd.ipynb		sgd.ipynb