Machine learning using Python

Module 1:  Introduction to Python

• History , environmental setting and installing python 3.6
• Installing anaconda IDE
• Overview of Jupyter, spyder, python command promt
• Running python
• Python identifier, keywords, comments etc
• Assigning values to variable
• different data types in python
• python numbers, strings

Module 2: Operators and Decision making in python

• operators in python
• decision making in python
• if elif
• break and continue
• loops
• while loop with else
• for loop

Module 3: Functions in python

• defining a function with ‘def’ keyword
• calling a function in python
• pass by value and pass by reference
• local vs global variable
• modules and packages in python
• lambda expression
• default argument, keyword argument and arbitrary argument
• programs on function

Module 4:  Data Structure in python

• lists and its different functions
• list comprehension
• dictionary and tuples
• different functions of dictionary, tuple
• Set and empty set
• Pop and push on set
• Using list as stack
• Using list as Queue
• Difference between all the above data structure

Module 5: Introduction to AI and Machine learning

• Application of AI
• Deep learning, neutral learning, machine learning
• Introduction to Machine learning
• Supervised learning, (labelled data sets)
• Unsupervised learning, (not labelled)
• Reinforcement learning.

Module 6: Machine learning packages in python

• Introduction to Numpy package
• Creating numpy array
• Indexing and slicing of numpy array
• Numpy operations
• Introduction to sci-py
• Introduction to scikit-learn

Module 7 : Python for Data Analysis - panda

• Introduction to pandas
• series and dataframes
• programs using python data frames

Module 8: Python for Data visualization - Matplotlib

• introduction to data visualization and Matplotlib
• data visualization with Matplotlib

Module 9: regression problem

• introduction to regression problem
• linear regression
• logistic regression, polynomial regression etc
• k-nearest Neighbors