🚀 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

Multi-Class Prediction of Obesity Risk

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

Suraj Wate's Blog

🎉 **Day 3 of my #30DaysOfKaggle Challenge is done!** 🎉

Worked on the **S4E5 Flood Prediction Dataset** 🌊, experimenting with regression models.

🔗 Blog: [Flood Prediction Dataset](https://surajwate.com/blog/regression-with-a-flood-prediction-dataset/)
📊 GitHub: [S4E5 Flood Prediction](https://github.com/surajwate/S4E5-Flood-Prediction-Dataset)
📝 Kaggle Notebook: [S4E5 Flood Prediction](https://www.kaggle.com/code/surajwate/s4e5-flood-prediction)

#DataScience #MachineLearning #Kaggle #FloodPrediction #30DayChallenge

Regression with a Flood Prediction Dataset

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

Suraj Wate's Blog