GitHub - krishna-aditi/data-science-practice: Practicing Data Science concepts in Python

Practicing Data Science concepts in Python

Stochastic Gradient Descent
Understanding cross validation on Diabetes dataset from Sklearn
- KFold
- Leave-one-out cross validation (LOOCV)
Simple and multiple linear regression on CalCOFI data set
K-means clustering implementation from scratch
Understanding categorical data and encoding schemes
Hyperparameter Optimization

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
Gradient-descent.ipynb		Gradient-descent.ipynb
README.md		README.md
cross-validation-practice.ipynb		cross-validation-practice.ipynb
hyperparameter-optimization.ipynb		hyperparameter-optimization.ipynb
kmeans-implementation.ipynb		kmeans-implementation.ipynb
model_validation.PNG		model_validation.PNG
simple-and-multiple-linear-regression.ipynb		simple-and-multiple-linear-regression.ipynb
understanding-categorical-data-and-encoding-schemes.ipynb		understanding-categorical-data-and-encoding-schemes.ipynb