Python
Overview
Lessons
1: Introduction
What is Python..?
A Brief history of Python
Why Should I learn Python..?
Installing Python
How to execute Python program
Write your first program
2: Variables & Data Types
Variables
Numbers
String
Lists ,Tuples & Dictionary
3: Conditional Statements & Loops
if…statement
if…else statement
elif…statement
The while…Loop
The for….Loop
4: Control Statements
continue statement
break statement
pass statement
5: Functions
Define function
Calling a function
Function arguments
Built-in functions
6: Modules & Packages
Modules
How to import a module…?
Packages
How to create packages
7: Classes & Objects
Introduction about classes & objects
Creating a class & object
Inheritance
Methods Overriding
Data hiding
8: Files & Exception Handling
Writing data to a file
Reading data from a file
Read and Write data from csv file
try…except
try…except…else
finally
os module
Module 2:Introduction to Machine learning(ML)
What is Machine learing?
Overview about sci-kit learn and tensorflow
Types of ML
Some complementing fields of ML
ML algorithms
Machine learning examples
Module 3:NumPy Arrays
Creating multidimensional array
NumPy-Data types
Array attributes
Indexing and Slicing
Creating array views and copies
Manipulating array shapes
I/O with NumPy
Module 4:Working with Pandas
Installing pandas
Pandas dataframes
Pandas Series
Data aggregation with Pandas DataFrames
Concatenating and appending DataFrames
Joining DataFrames
Handling missing data
Module 5: Python Regular Expressions
What are regular expressions?
The match Function
The search Function
Matching vs searching
Search and Replace
Extended Regular Expressions
Wildcard
Module 6:Python Oracle Database Access
Install the cx_Oracle and other Packages
Create Database Connection
CREATE, INSERT, READ, UPDATE and DELETE Operation
DML and DDL Oepration with Databases
Performing Transactions
Handling Database Errors
Disconnecting Database
Module 7:Web Scraping in Python
Module 8:Regression based learning
Simple regression
Multiple regression
Logistic regression
Predicting house prices with regression
Module 9:Clustering based learning
Defnition
Types of clustering
The k-means clustering algorithm
Module 5:Data mining
Introducing data mining
Decision Tree
Affiity Analysis
Clustering
Module 6:Classifiation – Sentiment Analysis
Module 7:Natural Language Processing
Install nltk
Tokenize words
Tokenizing sentences
Stop words with NLTK
Stemming words with NLTK
Speech tagging
Sentiment analysis with NLTK
Module 8:Making Sense of data through Visualization
Introducing matplotlib
Bar Charts
Line Charts
Scatter plots
Bubble charts
Module 9:Working with openCV
Setting up opencv
Loading and displaying images
Applying image filters
Tracking faces
Face recognition
Module 10:Performing predictions with Linear Regression
Simple linear regression
Multiple regression
Training and testing model
Teachers
Robert Deniro
Software Engineer
About Course
(47 Reviews)
Python programming tutorials provide you everything to learn about Python programming implementation and end-user level process step by step with various screenshots.
- Software
- 4 Week
- Intermediate
- 12 Lesson
- 5 Quizzes
- Certificate
- English