fbpx

Comprehensive Python for Machine Learning

About the Course – With no prior experience in the field of Data Science to being a successful Machine Learning professional. This Course has been designed specifically for those who has no prior experience in Python but wants to become a successful Data Scientist.

This course covers everything from Scratch to get you comprehensive understanding and hands on experience on Python. A true hands on experience along with good number of assignments and problem statement are included to give you actual learning.

Please check the Course Curriculum for details of the Topics which will be covered during the course.

Live and Interactive Sessions

What you would get –

Live training & discussion

50+ hours of extensive learning 

Concept building 

Hands on live discussion 

All the Notebooks access that I have used in the sessions 

Quizzes 

Assignments 

Mini Project on Python

Certificate of completion

 

Starting from 5th Sept – 5.30 PM – 6.30 PM IST ( weekend classes ). Course curriculum for that you can find under the courses section.

You will also get the access to all the notebooks which are being used in these sessions so that you can have it for your revision purpose in future.

For Registration for this course, please drop me a message on my linkedin –

https://www.linkedin.com/in/rahul-jain-937999173/

 

Register now !!

Installation Details

1
• Hardware and Software Requirements
2
• Installation Guide

How to Navigate the Course Documents

1
• Navigation Guidelines for DataCurators LMS

About Community Forum

1
• What is Community Forum
2
• How to register to Community Forum

Python : Let’s build the foundation

1
• An Introduction to Python

Let us Python - Basics

1
• The print statement , Hello World of Python
2
• Comments
3
• Python Data Structures
4
• Operators
5
• Variables in Python
6
• String Operations in Python – Slicing
7
• Simple Input
8
• Simple Output Formatting
9
• Questions and Quizzes
10
• Let me test you !!

Data Type in Python

1
• Number
2
• String
3
• Float
4
• List
5
• Tuple
6
• Dictionary
7
• Sets
8
• Frozen set
9
• Questions and Quizzes
10
• Let me test you !!

Python Program Flow

1
• Indentation
2
• The If statement and its’ related statement
3
• Example with if and else related statement
4
• What is loop
5
• For loop
6
• Examples for looping
7
• The while loop
8
• Range statement
9
• Break
10
• Additional notes
11
• Questions and Quizzes
12
• Let me test you !!

Functions & Modules

1
• Functions Basics
2
• Variable
3
• Create your own functions
4
• Scope of a Function
5
• Lambda Functions
6
• Map
7
• An Exercise with functions
8
• Questions and Quizzes
9
• Let me test you !!

Comprehensions in Python

1
• Comprehensions Introduction and Hands on
2
• Questions and Quizzes
3
• Let me test you !!

Classes In Python

1
• What is OOPs ?
2
• Inheritance
3
• Polymorphism
4
• Encapsulation
5
• Questions and Quizzes
6
• Let me test you !!

Exception Handling

1
• How to perform Exception Handling in Python
2
• Questions and Quizzes

Introduction to NumPy

1
• Why and What
2
• Comprehensive NumPy
3
• Questions and Quizzes
4
• Let me test you !!

Data Manipulation with Pandas

1
• Why and What
2
• Pandas learning – like Pandas size
3
• Introducing to Pandas
4
• Pandas Indexing and Selection
5
• Operating on Pandas Data
6
• Handling Missing Data
7
• Combining Datasets
8
• Pandas – Aggregation and Grouping
9
• Working with Pivot Tables
10
• Vectorized String Operations
11
• Working with Pandas Time Series
12
• High-Performance Pandas
13
• Additional Resources
14
• Questions and Quizzes
15
• Let me test you !!

Get Set Go !!

For Registration for this course, please drop me a message on my LinkedIn - https://www.linkedin.com/in/rahul-jain-937999173/

New Live and Interactive tarting Batch starting from 5th Sept - 5.30 PM - 6.30 PM IST ( weekend classes ). Course curriculum for that you can find under the courses section.

You will also get the access to all the notebooks which are being used in these sessions so that you can have it for your revision purpose in future.

For Registration for this course, please drop me a message on my LinkedIn -

https://www.linkedin.com/in/rahul-jain-937999173/

Add to Wishlist
Enrolled: 29 students
Lectures: 60

Working hours

Monday 10:00 am - 11.30 pm
Tuesday 10:00 am - 11.30 pm
Wednesday 10:00 am - 11.30 pm
Thursday 10:00 am - 11.30 pm
Friday 10:00 am - 11.30 pm
Saturday 9:00 am - 9.00 pm
Sunday 9:00 am - 9.00 pm