HANDS-ON TUTORIAL
Submarine SONAR Mine Prediction
End-to-End Data Science Project
Cut Learning Time in Half: Data Science Project End to End using 9 ScikitLearn Models, Hyperparameter Tuning & XGBoost | FULL Code
Presented by Dr. Maryam Miradi
Online | Pre-recorded | One-hour
Hosted by:
Dr. Maryam Miradi
About Dr. Maryam Miradi
Maryam Miradi is the CEO and Chief AI Scientist of Profound Analytics.
She has over 20 years of experience in AI model development, holds a PhD in AI, has published 24 articles, authored 2 books, received 5 awards, and has experience coaching over 200 data scientists across 12 industries.
She has been awarded as the Best European Researcher in Future Vision.
Data Preparation & Feature Engineering on 60 Features
Follow along as I prepare Input Features by experimenting with various transformations, including log, Box-Cox, square root, and radial basis functions. Additionally, we'll build a custom feature creator for our feature pipeline, all using Python.
9 Classification Models incl. XGBoost
After completing the feature engineering, I construct nine different classification models: XGBoost, Random Forest, Gradient Boosting, Logistic Regression, Naive Bayes, Decision Tree, AdaBoost, Extra Trees, and Bagging Classifier.
Advanced Hyperparameter Tuning
After selecting XGBoost as the final model, I will demonstrate how to perform Bayesian hyperparameter tuning using the Hyperopt library.
Key Takeaways
This Hands-on Tutorial is an End to End Data Science Project
- Comprehensive Data Science Workflow
- Python Libraries Mastery
- Feature Transformations and Scaling
- Custom Feature Engineering Pipelines
- Metrics for Imbalanced Data
- Classification Model Insights
Sign Up For Hands-On Tutorial Today
If you're looking for a unique end-to-end data science project to enhance your portfolio and want to go from zero to 100 in just one compact hour, this Tutorial is perfect for you. Join me as I guide you step-by-step through building a high-performing SONAR Mine vs. Rock classification model for a submarine, providing you with practical, hands-on experience in a real-world application.
