🚀 Day 6 of my 30 Kaggle Challenges in 30 Days is live! Today, I'm tackling a multi-class prediction problem to assess obesity risk using various ML models. 🤖 Tuned #XGBoost, explored #ModelStacking, and much more!

🔗 Blog: https://surajwate.com/blog/multi-class-prediction-of-obesity-risk/
📊 Notebook: https://www.kaggle.com/code/surajwate/s4e2-prediction-of-obesity-risk
📁 Code: https://github.com/surajwate/S4E2-Multi-Class-Prediction-of-Obesity-Risk

#DataScience #MachineLearning #Kaggle #Python #XGBoost #MultiClassClassification #ObesityRisk #AI #30DaysOfKaggle

📝 New Blog Post: Classification with an Academic Success Dataset 🎓

In my second Kaggle challenge, I tackle a multiclass classification problem to predict student outcomes. Learn how I handled class imbalance, applied stratified K-fold cross-validation, and tested multiple models for the best performance.

Check it out here 👉 https://surajwate.com/blog/classification-with-an-academic-success-dataset/

#DataScience #MachineLearning #Kaggle #MulticlassClassification #XGBoost #ML #AI