MACHINE LEARNING

Master Machine Learning: Unleash AI Power with Data-Driven Intelligence

Course Curriculum

1. Introduction to Machine Learning & Deep Learning

  • ML & DL Introduction & Overview
  • Introduction to AI, ML, DL & Applications
  • Introduction to Tools & Libraries

2. Data Analysis & Processing

  • Introduction to Data & Types
  • Signal, Speech Signals & Image Analysis & Processing
  • Data Analytics

3. Machine Learning Algorithms

  • Classification of ML Algorithms with Examples
  • Supervised Machine Learning & Algorithms
  • Unsupervised Machine Learning & Algorithms
  • Reinforcement Machine Learning Algorithms

4. Neural Networks

  • Introduction to Neurons & Networks
  • Layers of Network
  • Activation Layers
  • Artificial Neural Network
  • Convolutional Neural Network
  • Layers in CNN
  • Flatten Layer and Pooling Technique
  • Activation Functions and Keras Metrics
  • The Sequential Model

5. Advanced Deep Learning Techniques

  • Classification Models & Object Recognition
  • YOLO Model
  • Introduction to Neural Network
  • Keras Applications
  • Prediction Class of Car Dataset using Keras API

6. Introduction to RNN

  • Recurrent Neural Network Architecture
  • Introduction to Long Short-Term Memory (LSTM)
  • TensorBoard and Early Stopping in Keras

7. Natural Language Processing (NLP)

  • Tokenization for NLP
  • Stemming in NLP
  • Lemmatization
  • Stop Words in NLP
  • Parts of Speech in NLP
  • Disease Condition Detection from Drug Reviews
  • Fake News Preprocessing
  • Fake News Detection using LSTM

8. Real-Time Tasks

  • Revolutionizing Car Recognition using Deep Learning Image Classification with Keras
  • Drug Disease Prediction and Reviews using Natural Language Processing Technique
  • Fake News Detection using LSTM-Based Deep Learning
  • Brain Tumor Classification Using Image Classification Technique
  • Diabetic Retinopathy Detection
  • Kidney Tumor Detection and Classification
  • Smart CCTV
  • Stock Forecasting using Deep Learning Techniques