Python Pro - Python Basics for Machine Learning

Learn Python Basics for Machine Learning

Instructed by Rahul Tiwari

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  • Setting up the Environment for installing Python in your Machines
  • Coding in Python from scratch
  • Principles of Programming
  • Learning about various Data Types and Functions of Python
  • Learning about various Packages of Python and their use

In 21st Century Data Science is playing a huge role in accelerating the progress of development and Python is aiding the 
Top Giant Companies with Data Science. In this Python Tutorial for Data Science, we will help you in making the Base of
Strong Foundation in learning the Basics of Python for Machine Learning. 
 
With 2 Real Time Projects you will be getting full knowledge and exposure to Python Programming and with 24X7 support we 
make sure that no doubt is left unchecked. 
 
Come Learn with us and Ace your Data Science skills with us.

  • No Prior requirements just be passionate about learning how Data Works
  • Beginners and enthusiast people who are looking to take their carreer to next level using Data Science
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Section 1 : Introduction

  • Lecture 1 :
  • Introduction to the Course Preview
  • Lecture 2 :
  • What and Why Data Science
  • Lecture 3 :
  • Why Python
  • Lecture 4 :
  • Types of Variables

Section 2 : Python Collection Data Types

  • Lecture 1 :
  • Python Collection Data Types - LISTS
  • Lecture 2 :
  • Python Collection Data Types - TUPLES
  • Lecture 3 :
  • Python Collection Data Types - DICTIONARIES
  • Lecture 4 :
  • Python Collection Data Types - SETS

Section 3 : Loops

  • Lecture 1 :
  • Loops - FOR
  • Lecture 2 :
  • Loops - WHILE
  • Lecture 3 :
  • Loops - IF and ELSE
  • Lecture 4 :
  • Loops - LISTS

Section 4 : NumPy

  • Lecture 1 :
  • NumPy - Arrays
  • Lecture 2 :
  • NumPy - Matrix
  • Lecture 3 :
  • Matrix Operations - ERROR

Section 5 : User Defined Functions

  • Lecture 1 :
  • User Defined Functions

Section 6 : DataFrame

  • Lecture 1 :
  • DataFrame - Part 1
  • Lecture 2 :
  • DataFrame - Part 2
  • Lecture 3 :
  • DataFrame - Part 3

Section 7 : Exception Handling

  • Lecture 1 :
  • Exception Handling

Rahul Tiwari,

Train and consult organizations and individuals on Business Analytics, Data Science and Machine Learning. Since 12 years, have been helping students and organinzations in various domains like retail, telecom, life sciences, finance etc. in solving their business problems using Data Science, Business Analytics and Machine Learning After starting career 12 years back in Data Warehousing, moved onto Data Science domain and held various roles. Mostly working with CTOs, Key IT decison makers and students.I have always been focusing on building capacity, knowledge and solutions in Data Science, Business Analytics and Machine Learning.
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