×

This course is for the intermediate to Advance level participants. The participants should know the basic Python programming language. Prior familiarity with some other programming language (such as Java or C++) would be useful, but it is not mandatory for the audience.

After completing this Machine Learning Certification Training using Python, you should be able to:

  • In-depth knowledge of of Python
  • In-depth knowledge of Data Science
  • Work with real-time data
  • Learn data visualization
Topics Name
Online Session
Online Session
Built in Functions

undefined

Introduction to Python

undefined

Data Structure

undefined

Control Structure

undefined

Functions

undefined

Dictionary Case Study

undefined

List Comprehension and Dictionary Comprehension

undefined

Module

undefined

Built In Modules

undefined

File Handling and Exception Handling

undefined

Object Oriented Programming using Python

undefined

OOPS Application

undefined

Inheritance, Polymorphism, Overloading and Overriding

undefined

Regular Expression: With Case Study

undefined

Iterator, Generator and Collection Framework

undefined

Introduction to Data Science

undefined

Data Processing

undefined

Mathematical Computing with NumPy

undefined

Data Manipulation with Pandas - Series

undefined

Data Manipulation with Pandas - DataFrame

undefined

Data Visualization using matplotlib

undefined

Lab Setup:-

Computer with the following software

Operating System: Red Hat Linux / Ubuntu/CentOS/ Windows ( Latest Version preferable )

Anaconda python 3.7 ( Latest Version preferable )

https://www.anaconda.com/download

Python 3.7 version *

Set Up Python Path Environment on OS ( During Installation ). [ Shortest Path ]

Internet Access will be needed to install python third party library

 

Hardware :

RAM: Minimum 4GB / 8GB ( Recommended ).

Internet Connectivity. ( Needed to Install Packages and Run Anaconda Server ).

80 GB HDD.

Latest Course

PySpark
Trending Courses
Ruby on Rails
E-Learning
Snow
ChatBot

Hello! How can I help you?