Python Pro: Basics for Machine Learning

Python Pro - Python Basics for Machine Learning

Learn Python Basics for Machine Learning

Created by : Rated :4.1 72898 views

Last Updated: 2024-11-20 09:11:52 English Course Type: Self Learning

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

Section 1 : Introduction 4 Lectures 00:18:09
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 4 Lectures 00:32:12
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 4 Lectures 00:38:32
Lecture 1 :
Loops - FOR
Lecture 2 :
Loops - WHILE
Lecture 3 :
Loops - IF and ELSE
Lecture 4 :
Loops - LISTS
Section 4 : NumPy 3 Lectures 00:23:30
Lecture 1 :
NumPy - Arrays
Lecture 2 :
NumPy - Matrix
Lecture 3 :
Matrix Operations - ERROR
Section 5 : User Defined Functions 1 Lectures 00:07:30
Lecture 1 :
User Defined Functions
Section 6 : DataFrame 3 Lectures 00:40:49
Lecture 1 :
DataFrame - Part 1
Lecture 2 :
DataFrame - Part 2
Lecture 3 :
DataFrame - Part 3
Section 7 : Exception Handling 1 Lectures 00:04:50
Lecture 1 :
Exception Handling

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Rahul Tiwari,

72898 Course Views

1 Courses

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.