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Learn Python Programming
Learn Python Programming
Learn Python Programming and increase your python programming skills with Coder Kovid.
Python is the highest growing programming language in this era. You can use Python to do everything like, web development, software development, cognitive development, machine learning, artificial intelligence, etc. You should learn python programming and increase your skills of programming.
In this course of learn python programming you don't need any prior programming knowledge. Every beginner can start with.
No prior knowledge needed to learn this course
What will you learn
Write Basic Syntax of Python Programming
Create Basic Real World Application
Program in a fluent manner
Get Familiar in Programming Environment
Description We love Programming. Our aim with this course is to create a love for Programming. Python is one of the most popular programming languages. Python offers both object oriented and structural programming features. We take an hands-on...
We love Programming. Our aim with this course is to create a love for Programming.
Python is one of the most popular programming languages. Python offers both object oriented and structural programming features.
We take an hands-on approach using a combination of Python Shell and PyCharm as an IDE to illustrate more than 150 Python Coding Exercises, Puzzles and Code Examples.
In more than 150 Steps, we explore the most important Python Programming Language Features
Basics of Python Programming - Expressions, Variables and Printing Output
Python Operators - Python Assignment Operator, Relational and Logical Operators, Short Circuit Operators
Python Conditionals and If Statement
Methods - Parameters, Arguments and Return Values
An Overview Of Python Platform
Object Oriented Programming - Class, Object, State and Behavior
Basics of OOPS - Encapsulation, Inheritance and Abstract Class.
Basics about Python Data Types
Basics about Python Built in Modules
Conditionals with Python - If Else Statement, Nested If Else
Loops - For Loop, While Loop in Python, Break and Continue
Immutablity of Python Basic Types
Python Data Structures - List, Set, Dictionary and Tuples
Introduction to Variable Arguments
Basics of Designing a Class - Class, Object, State and Behavior. Deciding State and Constructors.
Introduction to Exception Handling - Your Thought Process during Exception Handling. try, except, else and finally. Exception Hierarchy. Throwing an Exception. Creating and Throwing a Custom Exception
This complete Machine Learning full course video covers all the topics that you need to know to become a master in the field of Machine Learning.
Machine Learning Full Course | Learn Machine Learning | Machine Learning Tutorial
It covers all the basics of Machine Learning (01:46), the different types of Machine Learning (18:32), and the various applications of Machine Learning used in different industries (04:54:48).This video will help you learn different Machine Learning algorithms in Python. Linear Regression, Logistic Regression (23:38), K Means Clustering (01:26:20), Decision Tree (02:15:15), and Support Vector Machines (03:48:31) are some of the important algorithms you will understand with a hands-on demo. Finally, you will see the essential skills required to become a Machine Learning Engineer (04:59:46) and come across a few important Machine Learning interview questions (05:09:03). Now, let's get started with Machine Learning.
Below topics are explained in this Machine Learning course for beginners:
Basics of Machine Learning - 01:46
Why Machine Learning - 09:18
What is Machine Learning - 13:25
Types of Machine Learning - 18:32
Supervised Learning - 18:44
Reinforcement Learning - 21:06
Supervised VS Unsupervised - 22:26
Linear Regression - 23:38
Introduction to Machine Learning - 25:08
Application of Linear Regression - 26:40
Understanding Linear Regression - 27:19
Regression Equation - 28:00
Multiple Linear Regression - 35:57
Logistic Regression - 55:45
What is Logistic Regression - 56:04
What is Linear Regression - 59:35
Comparing Linear & Logistic Regression - 01:05:28
What is K-Means Clustering - 01:26:20
How does K-Means Clustering work - 01:38:00
What is Decision Tree - 02:15:15
How does Decision Tree work - 02:25:15
Random Forest Tutorial - 02:39:56
Why Random Forest - 02:41:52
What is Random Forest - 02:43:21
How does Decision Tree work- 02:52:02
K-Nearest Neighbors Algorithm Tutorial - 03:22:02
Why KNN - 03:24:11
What is KNN - 03:24:24
How do we choose 'K' - 03:25:38
When do we use KNN - 03:27:37
Applications of Support Vector Machine - 03:48:31
Why Support Vector Machine - 03:48:55
What Support Vector Machine - 03:50:34
Advantages of Support Vector Machine - 03:54:54
What is Naive Bayes - 04:13:06
Where is Naive Bayes used - 04:17:45
Top 10 Application of Machine Learning - 04:54:48
How to become a Machine Learning Engineer - 04:59:46
Machine Learning Interview Questions - 05:09:03