MACHINE LEARNING Syllabus

Duration:3.5 Months | Fee: ₹30000/-

1. Introduction to Machine Learning & Deep Learning

• ML & DL Introduction & Overview
• Introduction to AI, ML, DL & Applications
• Introduction to Tools & Libraries
• Life Cycle of Machine Learning

2. Introduction to Python

• Python Important Features
• Interfaces or Software to Execute Python
• Python Basics
• Types of Operators in Python
• Control Statements in Python
• Functions in Python
• Packages & Modules in Python
• Exception Handling in Python

3. Python Data Structures

• List Data Structures
• String Data Structure
• Sets and Tuples
• Dictionaries
• Files Concept in Python
• Regular Expressions

4. Data Analysis with Python

• Numpy Module
• Pandas Module
• Numpy Arrays
• Pandas Series Operations
• Pandas Aggregate Functions
• Matplotlib Module
• Statistics
• Exploratory Data Analysis (EDA)
• EDA Continuation

5. Machine Learning Algorithms

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

6. 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

7.Advanced Deep Learning Techniques

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

8.Introduction to RNN

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

9.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

10. Real-Time Tasks & Projects

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

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