MACHINE LEARNING

Machine Learning

Basic

• Python language introduction
• Python 3 basics
• Keywords in Python
• Namespaces and Scope in Python
• Structuring Python Programs
• Decision Making

Input/Output

• Taking input in Python
• Vulnerability in input() function
• Python | end parameter in print()
• Python | sep parameter in print()

Data Types

• Introduction to DataTypes
• Strings
• List
• Tuples
• Sets
• Dictionary Variables,Variables, expression condition and function
• Maximum possible value of an integer in python
• Global and local variables in python packing and unpacking arguments in python

Control Flow

• Loops, Loops and Control Statements (continue, break and pass) in Python
• Looping technique in python, range vsxrange on python
• Programs for printing pyramid technique in python Chaining comparison in python, else with for switch function
• Using iteration in python effectively Iterators in Python
• Iterators function in python Iterators function Python __iter__() and __next__()

Modules and Packages:

• Modules
• Importing module
• Standard Module – sys
• Standard Module – OS
• The dir Function

Exception Handling:

• Errors, Run Time Errors
• Handling IO Exceptions
• … except statement
• Raise, Assert, Exercise

Files and Directories

• Introduction
• Writing Data to a File
• Reading Data From a File
• Additional File Methods
• Working with files
• Working with Directories
• The pickle Module

Machine Learning Through Python

• Machine Learning Introduction
• Introduction to Python
• Basics of Python
• Machine Learning vs Statistical Modelling
• Supervised vs Unsupervised Learning
• Supervised Learning Classification
• Unsupervised Learning

Supervised Learning

• K-Nearest Neighbors
• Decision Trees
• Random Forests
• Reliability of Random Forests
• Advantages & Disadvantages of Decision Trees

Unsupervised Learning

• K-Means Clustering plus Advantages & Disadvantages
• Hierarchical Clustering plus Advantages & Disadvantages
• Measuring the Distances Between Clusters – Single Linkage Clustering
• Measuring the Distances Between Clusters – Algorithms for Hierarchy Clustering
• Density-Based Clustering