Solving Kaggle's Spaceship Titanic: Complete Walkthrough for Hyperparameter Optimization with Optuna

Welcome to this comprehensive tutorial on solving Kaggle’s Spaceship Titanic competition using Optuna for hyperparameter optimization! In this video, we walk through the entire process, from understanding the dataset and preprocessing the data to optimizing hyperparameters and selecting the best features to build a robust Machine Learning model.
🔍 What You'll Learn:
The importance of hyperparameter optimization
Using Optuna to automate hyperparameter tuning
Data preprocessing techniques
Feature selection with SelectKBest
Building and evaluating a RandomForestClassifier model
Preparing and submitting predictions to Kaggle
📊 Resources:
Dataset - Kaggle’s Spaceship Titanic competition www.kaggle.com...
Optuna Documentation - optuna.readthe...
Written Blog - For a detailed written version of this tutorial with all the code snippets, check out the blog - blogs.alisterl...
Kaggle Notebook - www.kaggle.com...
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#machinelearning #DataScience #Kaggle #Optuna #HyperparameterOptimization #RandomForest #Python
Thank you for watching!

[@DataVue]

Thanks for this tutorial ❤