Machine Learning: Mastering Core Concepts and Advanced Techniques

Machine Learning: Mastering Core Concepts and Advanced Techniques

This course dives into essential and trending machine learning topics, covering algorithms like regression, classification, neural networks, and deep learning. Learn key techniques such as model evaluation, hyperparameter tuning, and reinforcement learning, preparing you to build robust and scalable machine learning models.

What you will learn -

  • Unraveling Supervised Learning Algorithms
  • Exploring Unsupervised Learning Algorithms
  • Understanding Regression Analysis
  • Exploring Classification Techniques
  • Understanding Decision Trees and Random Forests
  • Understanding Support Vector Machines
  • Understanding the k-Nearest Neighbors Algorithm
  • Understanding Dimensionality Reduction
  • Understanding Ensemble Methods
  • Understanding Principal Component Analysis
  • Understanding Convolutional Neural Networks
  • Understanding Neural Networks and Deep Learning
  • Understanding the Basics of Natural Language Processing (NLP)
  • Understanding Recurrent Neural Networks (RNN)
  • Model Evaluation and Validation
  • Understanding Reinforcement Learning
  • Hyperparameter Tuning
  • Unlocking the Power of Transfer Learning in Machine Learning
  • Understanding Gradient Descent Optimization
  • Understanding the Bias-Variance Tradeoff in Machine Learning