Machine Learning

Overview

What you'll learn

Key concepts and practical areas covered in this workshop.

• 01Understand Realtime End to End Machine Learning Pipelines
• 02Clean, Prepare & Analyze Data Efficiently using Pandas
• 03Visualize Data Patterns with Seaborn Charts & Plots
• 04Advanced Model Training & Evaluation Techniques
• 05Deploy Machine Learning Models & APIs

Curriculum

Workshop curriculum

Review the topics covered in each module before sending an enquiry.

1. 01

   Introduction to ML Pipeline

   1 day

   • ML Pipeline - Data, Transformation, Training, Evaluation, Deployment
   • Understanding features and target variables
   • Train / Validation / Test Split
   • Prediction Use Case - Define a real-world prediction problem
   • Identify inputs, prediction target, and quality metrics
   • Hands-on - Explore project dataset, define regression problem & ML workflow
2. 02

   Data Preprocessing

   1 day

   • Understanding Data - Explore rows, columns, data types, missing values & outliers
   • Data Pre-processing - Handling missing values, categorical encoding & feature scaling
   • Feature Engineering - Create and select relevant features for prediction
   • Hands-on - Build a complete preprocessing workflow using Pandas & Scikit-learn
3. 03

   Model Training & Evaluation

   1 day

   • Model Training - Train regression models & generate predictions on unseen data
   • Model Evaluation - MAE, RMSE & R² evaluation metrics
   • Model Comparison - Compare algorithms, analyze performance trade-offs & select the best model
   • Hands-on - Train multiple models, evaluate predictions, and save the final model
4. 04

   Model Deployment

   1 day

   • Preparing the Model - Save and load trained models for inference
   • Building the Application - Introduction to Streamlit & creating interactive interfaces
   • Model Inference - Generate and display real-time predictions
   • Hands-on - Build and run a complete Streamlit ML application locally

Before you begin

What you'll need

• Laptop with internet connection
• Basic logical thinking
• No prior AI experience needed

Instructor

Arun Kumar S