Machine Learning Fundamentals

AI Training — 3-4 Days | Online / Onsite

Duration

3-4 Days

Mode

Online / Onsite

Level

Intermediate

Availability

On Demand

Course Overview

Learn core machine learning algorithms using Python, Scikit-learn and real-world datasets to build intelligent applications.

Course Objectives

✓ Understand supervised and unsupervised learning
✓ Implement regression and classification
✓ Build clustering models
✓ Evaluate model performance
✓ Feature engineering

Course Curriculum

+ Module 1: ML Foundations

► Types of machine learning
► Python for ML
► Data preprocessing
► Train and test splits

+ Module 2: Supervised Learning

► Linear and logistic regression
► Decision trees and random forests
► SVM and KNN
► Model evaluation metrics

+ Module 3: Unsupervised Learning

► K-Means clustering
► Hierarchical clustering
► PCA dimensionality reduction
► Anomaly detection

+ Module 4: ML Pipeline

► Feature engineering
► Cross-validation
► Hyperparameter tuning
► Model deployment basics

Enquire About This Course

Who Should Attend

✓Data Analysts wanting ML skills
✓Python Developers
✓BI Professionals
✓Engineering graduates

What You Will Gain

★Complete ML toolkit
★Real dataset projects
★Scikit-learn mastery
★Certificate of completion

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📞 95353 37474 💬 WhatsApp Us

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