VESTRA.

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ML & AI

Machine Learning & Data Science Fundamentals

The math, tools, and models behind machine learning — Python, Pandas, scikit-learn, and your first deployed model.

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Beginner

Python for Data Science: Pandas, NumPy & Matplotlib
Data Cleaning & Exploratory Data Analysis
Statistics for Data Science
Introduction to Machine Learning

Intermediate

Supervised Learning: Regression & Classification
Unsupervised Learning: Clustering & Dimensionality Reduction
Feature Engineering & Model Evaluation
SQL for Data Science

Advanced

Neural Networks & Deep Learning
AI Ethics & Responsible Machine Learning
Deploying ML Models as APIs with Flask
Capstone: End-to-End Data Science Project

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