Machine Learning Training by Experts

Module 1 : CORE PYTHON

• Short history
• Introduction
• Features of Python
• Python2 Vs Python 3
• Python Installation
• Python Interpreter
• How to Run Python
• Basic Syntax
• Python Identifiers, Keywords and Indentation Rules
• Type Checking
• Input, Output, Variables, Data Type and Datatype Casting

Module 2 : MACHINE LEARNING

• Data Analysis
• Data Visualization
• Data Classification
  • Supervised Learning
  Unsupervised Learning

Module 3 : SUPERVISED LEARNING

• Classification
  • K-Nearest Neighbours
  • Decision Tree
  • Naive Bayes
  • Logistic Regression
  • Support Vector Machine
  • Random Forest
  • Logistic Regression
• Regression
  • Single Linear Regression
  • Multiple Linear Regression

Module 4 : UNSUPERVISED LEARNING

• Clustering
  • Hierarchical Clustering
  • KMeans Algorithm Association

Module 5 : DATA PREPROCESSING

• PCA
• Dimensionality reduction
• Correlation
• Features Extraction Algorithm