applying-evaluating-clustering-algorithms

This is a small tutorial project that demonstrates application and evaluation methods of popular clustering algorithms namely, K-means, DBSCAN and Agglomerative.

cancer-detection-and-model-interpretability-using-shap-and-lime

This project addresess a medical problem of detecting cancer and understanding what causes cancer in body using machine learning.

cardiovascular_disease_prediction-using-pca-and-xgboost

Detection of cardiovascular disease using AWS Sagemaker PCA and Xgboost techniques

classification-suite-and-methods-for-performance-evaluation

Predictive problems requires three main challenges to overcome. First, choosing the right classification algorithm. Second, building a robust building and testing environment for algorithm to learn and thirdly, picking the appropriate performance metric for evaluation. Here it is explained how these challenges can be addressed.

improved-predictive-outcome-using-pca

This project demonstrates application of PCA for improving the classification results

multiple-linear-regression-with-regularization

A small project addressing a regression problem explains implementation of multiple linear regression techniques, hyperparameter tuning, collinearity, model overfitting and complexity using LASSO, Ridge and Elastic net

parameter-tuning-regression-algorithms

Different linear and non linear regression models are demonstrated with illustration on parameter tuning using GridsearchCV in sklearn

posts

Material for posts

predicting-parkinson-disease-using-machine-learning

This project addresses problem of early detection of Parkinson disease using Machine learning techniques

predicting-rainfall-in-kerala-using-machine-learning-models

This project demonstrates machine learning pipeline to predict rainfall in Kerala state of India

sakshibabbar2019

xgboost-for-detecting-credit-card-frauds

This project is to identify fraudulent credit transactions using Xgboost

xgboost-sagemaker-for-forecasting-sales

The objective of this project is to forecast weekly retail store sales based on historical data using XGBoost Sagemaker