Python Machine Learning

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data.

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Python Machine Learning

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

Python Machine Learning

Python Machine Learning

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