Build a Machine Learning Prediction Model (Virtual)

Ready to take your data science game to the next level? Join us for a hands-on portfolio project where you’ll walk through the full process of building a Machine Learning Prediction Model with Rashmi Krishnamohan (Data Analyst; UWin Alumni) — from raw data to model deployment prep!

This interactive virtual workshop is perfect for those who are data-curious, passionate about data science, and have basic Python skills.

What you’ll learn:

🔍 How to collect real-world datasets from Kaggle
📈 Perform Exploratory Data Analysis using popular Python libraries
✂️ Split data for training and testing
🤖 Build and evaluate a Machine Learning model for prediction

⚠️Before the session:
Make sure you have Jupyter Notebooks installed with the following libraries:
numpy, pandas, matplotlib, scikit-learn

Let’s turn your curiosity into a portfolio-worthy project!

REGISTER