📞 95353 37474
in W

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

Need more info? Call us!

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