Welcome to our exclusive workshop, “Introduction to Kaggle & Jupyter for Data Science (Entry Level),” designed to equip you with the essential tools and skills for a successful journey in data science.

In this expertly crafted session, you will:

Master Kaggle: Learn to create and optimize your Kaggle account, navigate its rich environment, and leverage its features for competitions and datasets.

Navigate Jupyter Notebook: Gain hands-on experience with Anaconda installation and explore the Jupyter Notebook interface, uncovering its powerful capabilities for interactive data analysis.

Understand Data Science Processes: Delve into core data science tasks such as classification, regression, and clustering. Discover how to install and utilize key Python libraries for effective data manipulation.

Explore Machine Learning Workflow: Acquire foundational knowledge on building and training machine learning models, address common challenges, and implement methods for evaluating model performance.

Engage in Practical Application: Put your learning into practice with a guided example, including the creation and submission of predictions in a Kaggle competition.

This workshop is meticulously designed for those at the entry level, offering a comprehensive introduction to Kaggle and Jupyter. Join us to refine your skills and gain practical insights from an experienced data science professional.

Date: Saturday, August 10, 2024
Location: Virtually via Google Meet