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🧠 Machine Learning

Master Machine Learning Algorithms and Build Predictive Models

Duration

12 Weeks

Level

Intermediate

Price

Rs.20,000

Batch Size

20 Students

Course Overview

This comprehensive Machine Learning course covers all essential algorithms, techniques, and tools used in modern ML applications. You'll learn to build, evaluate, and deploy machine learning models for real-world problems using Python, scikit-learn, and TensorFlow.

Course Syllabus

Module 1: ML Fundamentals
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Data preprocessing and feature engineering
  • Model evaluation metrics
Module 2: Supervised Learning
  • Linear Regression and Polynomial Regression
  • Logistic Regression and Classification
  • Support Vector Machines (SVM)
  • Decision Trees and Random Forests
Module 3: Unsupervised Learning
  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • Anomaly Detection
Module 4: Advanced Algorithms
  • Gradient Boosting (XGBoost, LightGBM)
  • Naive Bayes and Bayesian Learning
  • Ensemble Methods
  • Hyperparameter Tuning
Module 5: Deep Learning Basics
  • Neural Networks fundamentals
  • Backpropagation and optimization
  • TensorFlow and Keras
  • Regularization techniques
Module 6: Model Deployment
  • Model serialization and saving
  • Flask/Django API development
  • Model monitoring and maintenance
  • Production deployment best practices
Module 7: Real-World Projects
  • Predictive analytics project
  • Recommendation system
  • Image classification
  • Time series forecasting

Ready to Master Machine Learning?