Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
A Prerequisite for Learn Machine Learning
Python Programming Concepts like
- Operators (Arithmatic, Boolean, Bitwise, etc.,)
- Math Library (Addition, Subtration, Logarithmic, etc.,)
- Variables (Declaration, Assignment, Overwrite, etc.,)
- Dynamic Types (How to change variable datatype on fly)
- Data Types (Integer, Float, Strings, etc.,)
- Type Casting (Convert from one datatype to another)
- Data Types Changes
- Strings (Characters, Strings or Text data)
- Boolean (True or False)
- Special Characters in a String
- Split and Strip Methods (Split a string or strip a string)
- Introduction to Lists (Data Structure)
- Lists Slicing (Get a chunk of the data)
- Lists - Built in Functions (Insert, Delete values)
- String and Boolean Lists (List containing only Strings, Boolean values, etc.,)
- Concatenate Strings Using Join Method (Concatenate two characters or strings using Join method)
- Mixed Lists (Mixed datatype values in a List)
- Add Two Lists (Combine two lists)
- Nested Lists (List inside another List)
- Introduction to Dictionary (Key / Value Pair Data Structure in Python)
- Dictionary & It's Methods (Available built-in methods in Python for Dictionary)
- Nested Dictionary (Dictionary inside another Dictionary)s
- Create Dictionary using Zip Method (Combine 2 Lists to create a Dicationary)
- Sets (Another form of Data Structure that doesn't allow Duplicates)
- Tuples
- If...Else..If Condition
- While Loop
- Range Method
- For Loop with Example
- While Loop with Example
- Lambda / Anonymous Function
- Reserved Keywords
- User defined functions
- File IO Operations
- ...........Lot More...
Course Content
- 2 section(s)
- 37 lecture(s)
- Section 1 Introduction
- Section 2 Python Programming
What You’ll Learn
- Python Programming for Machine Learning
Skills covered in this course
Reviews
-
CChinnonye Okafor
I get to learn the basic tools of coding in python which is great. But I’m looking forward to a practical application to apply it to. It would be great if we had a project that we built through out the course and each section touched upon tools and concepts that we could use in our project.
-
JJayabai J Jeyaprakash
GOOD
-
AAniqa Aslam
it was perfectly a good match for me as beginner and others who are in worry to where to start learning python can get into this course and from beginning step by step the instructor teaches you about the phython.
-
RRedemption Jonathan
WOW... I did find myself lucky having this course. It's very engaging and easy to learn. Thank You very much for your efforts in putting up this lessons.