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Software & Data

AI & ML

From Python fundamentals to a deployed model — classification, regression, and a capstone project.

Syllabus

01

Python for ML

  • NumPy & pandas
  • Data cleaning
  • Visualization
02

Core ML

  • Regression
  • Classification
  • Model evaluation
03

Capstone

  • End-to-end project with a deployed model

Assignments

A1

Exploratory data analysis

Clean and visualize a real-world dataset, documenting your findings.

A2

Classification model

Train and evaluate a classifier, comparing at least two algorithms.

A3

Capstone deployment

Deploy a trained model behind a simple API endpoint.

Notes & Downloads

Unlocked on your dashboard once you register.

PDF · Python for ML setup guidePDF · Model evaluation cheat sheetCode · Notebook templates
Course fee
6999

10 weeks · Advanced

  • Instant dashboard access
  • Downloadable notes & assignments
  • Verifiable certificate on completion