Python Data Science Libraries

This repository contains resources and hands-on tutorials for learning essential Python libraries used in data science. Using the Titanic dataset, you'll learn how to perform numerical operations, data manipulation, create visualizations, and build a machine learning model to predict passenger survival.

Contents

• Introduction
• Prerequisites
• Getting Started
• How to Open a Jupyter Notebook from GitHub in Google Colab
• Tutorial Sections
  • NumPy: Numerical Computations
  • Pandas: Data Manipulation
  • Matplotlib: Basic Plotting
  • Seaborn: Advanced Statistical Visualizations
  • Scikit-learn: Machine Learning
• Resources
• Watch the Tutorial

Introduction

Welcome to the hands-on tutorial for essential Python libraries in data science. This tutorial is perfect for beginners and intermediate learners looking to enhance their data science skills.

Prerequisites

• Basic understanding of Python programming.
• Google account for accessing Google Colab.

Getting Started

1. Clone the Repository:

git clone https://github.com/eduhubai/python-data-science-libraries.git

2. How to Open a Jupyter Notebook from GitHub in Google Colab

• Navigate to the notebook file on GitHub.
• Copy the URL of the notebook file.
• Open Google Colab in your web browser: Google Colab.
• Click on the File menu.
• Select Open notebook.
• In the Open notebook dialog, go to the GitHub tab.
• Paste the URL of the notebook file into the text box.
• Click on the Search icon next to the text box.
• Select the notebook from the list that appears.

3. Dataset:

• The Titanic dataset is included in the repository.

Tutorial Sections

NumPy: Numerical Computations

Pandas: Data Manipulation

Understand how to use Pandas for loading, cleaning, and analyzing structured data.

Matplotlib: Basic Plotting

Discover how to create basic plots using Matplotlib, including bar plots and histograms.

Seaborn: Advanced Statistical Visualizations

Explore Seaborn for creating attractive and informative statistical graphics.

Scikit-learn: Machine Learning

Build a machine learning model using Scikit-learn to predict whether a passenger survived the Titanic disaster.

Resources

• NumPy Documentation

• Pandas Documentation

• Matplotlib Documentation

• Seaborn Documentation

• Scikit-learn Documentation

• Watch the Tutorial

• Follow along with our video tutorial on YouTube: [YouTube Video Link]