Скачать или смотреть Titanic Survival Prediction | ML Tutorial for Beginners Using Python

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🎬 YouTube Video Description:
🚢 Titanic Machine Learning Project for Beginners – End-to-End in Google Colab!

In this beginner-friendly tutorial, I walk you through solving the Kaggle Titanic dataset using Python in Google Colab. We focus on essential machine learning steps like data cleaning, preprocessing, model training, and evaluation — perfect for anyone starting their data science journey!

🔍 What You'll Learn in This Video:
Importing the Titanic dataset from Google Drive into Colab

Finding and handling missing values

Imputing Age with mean and Embarked with mode

Converting categorical columns like Sex and Embarked into integers

Dropping irrelevant columns like PassengerId, Name, and Ticket

Splitting data into training and testing sets

Fitting a Logistic Regression model using scikit-learn

Evaluating the model with accuracy and classification metrics

This project is part of the classic Titanic survival prediction challenge on Kaggle and a great first step in your machine learning and data science journey.
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1:58 Identified and handled missing values by imputing Age with the mean and Embarked with the mode.

05:02 Converted categorical features like Sex and Embarked into numerical values.

07:03 Dropped irrelevant columns such as PassengerId, Name, and Ticket to reduce noise.

10:15 Split the data into training and testing sets.

12:34 Trained a Logistic Regression model on the processed data.

14:15 Evaluated the model using basic classification metrics.

Dataset used: https://www.kaggle.com/datasets/yasse...