Blog

Sep 18, 2024

Day 7 of 30 Kaggle Challenges focuses on binary classification using the bank churn dataset, comparing multiple models with LightGBM achieving the best score.

Multi-Class Prediction of Obesity Risk

Sep 16, 2024

Sixth day of my Kaggle challenge with a multi-class prediction model for obesity risk using various ML techniques and tuning XGBoost.

Steel Plate Defect Prediction

Sep 15, 2024

Day 5 of 30 Kaggle Challenges: Multilabel classification using CatBoost to identify steel plate defects.

Regression with an Abalone Dataset

Sep 14, 2024

A deep dive into hyperparameter tuning with CatBoost for predicting abalone age using the RMSLE evaluation metric, as part of the 30 Kaggle Challenges in 30 Days series.

Sep 13, 2024

Day 3 of Kaggle challenge: flood probability prediction using regression models and project automation.

Sep 12, 2024

Predict students' dropout and academic success using a multiclass classification model. Includes stratified K-fold cross-validation and model performance optimization.

Sep 11, 2024

Part of my 30 Kaggle Challenges series, this blog explores binary classification models like XGBoost for predicting insurance cross-selling outcomes.

Multiple Linear Regression

Jul 20, 2024

A detailed guide on Multiple Linear Regression, exploring how to predict outcomes with multiple variables in machine learning using Python.

Simple Linear Regression

Jul 7, 2024

An introduction to Simple Linear Regression, a fundamental concept in machine learning and predictive modeling using Python.