Hackforge | Machine Learning Project: Titanic Dataset

The Titanic disaster of 1912 is one of the most infamous shipwrecks in history, and it has been the subject of countless studies and analyses. In this event, we will use the Titanic dataset to demonstrate fundamental data analysis techniques using Python. Participants will learn how to handle, analyze, and visualize data using powerful libraries like Pandas, NumPy, and Matplotlib, all within the user-friendly environment of Google Colab.

This hybrid session is perfect for anyone interested in learning how to leverage Python for data science, whether you’re a beginner or looking to sharpen your skills.

Key Takeaways:

• Data Exploration: Understand the structure and content of the Titanic dataset.
• Data Cleaning: Learn how to handle missing values and clean the data for analysis.
• Data Visualization: Create insightful visualizations to uncover patterns and insights.
• Statistical Analysis: Perform basic statistical analysis to interpret the data.
• Machine Learning: Build a simple predictive model to determine survival outcomes.

Technology Used:

• Google Colab: An online platform that allows you to write and execute Python code in your browser, making it easy to collaborate and share your work.
• Python Libraries:
  • Pandas: For data manipulation and analysis.
  • NumPy: For numerical operations.
  • Matplotlib: For data visualization.
  • Seaborn: For enhanced statistical graphics.
  • Scikit-learn: For building predictive models.

Who Should Attend:

• Students and professionals interested in data science and Python programming.
• Beginners looking to get started with data analysis.
• Anyone curious about the Titanic dataset and its applications in data science.

Prerequisites:

• Basic understanding of Python programming.
• No prior experience with data analysis or machine learning is required.

Register to attend Virtually via Zoom.
Register to attend In-Person in the RSVP link  below

REGISTER