Titanic ML Project | Predict Survival with Python + Sklearn | Day-1 Kaggle Challenge | Beginner

Welcome aboard! In this fun and beginner-friendly data science project, we take you on an end-to-end journey using the legendary Titanic dataset.

From data cleaning to building a Random Forest model, I explain every single line of Python code with clear, easy-to-follow logic—and yeah, expect a few jokes along the way to keep things lively. Whether you're just getting started with machine learning or looking for a refresh, this Titanic survival prediction project will help you level up!

What You'll Learn:

Exploratory Data Analysis (EDA)

Handling missing values

Label encoding for categorical features

Feature selection & model training

Evaluating a classification model with scikit-learn
Tools Used: Python, Pandas, NumPy, Seaborn, Matplotlib, Scikit-Learn

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Drop your questions, feedback, or dataset requests in the comments!

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Видео Titanic ML Project | Predict Survival with Python + Sklearn | Day-1 Kaggle Challenge | Beginner канала Datascendent