Unlock the Power of Python to Explore Machine Learning Concepts by using SK-Learn library
Description
This course is specially designed for students eager to learn the Python programming language and foundational concepts of machine learning . Whether you’re a complete beginner or looking to strengthen your programming skills, this course provides a comprehensive introduction to Python and essentials of machine learning , offering practical experience, hands-on coding exercises, and the opportunity to develop a strong foundational understanding of key concepts to advance your learning journey.
What You’ll Learn:
Python Programming Basics
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Overview of Python Programming Language
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Step-by-step Installation Guide for Beginners
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Variable Declaration and Type Casting
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Arithmetic Operations
String Operations
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String Formation and Concatenation
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Paragraph and Substrings
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Case Conversion
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Escape Characters
Control Flow: Conditional Statements:
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If condition ,Elif condition ,Else condition
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Data Structures: Python’s Core Collection Objects:
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Lists
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Tuples
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Sets
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Dictionaries
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Loops
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For Loop
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While Loops
Functions
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Functions and Arguments
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Advanced Functionality: Decorators
Object-Oriented Programming (OOP)
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Classes and Objects
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Inheritance and Multiple Inheritance
Modularity and Reusability
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Creating and Using Modules
Machine Learning Essentials
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Introduction to Machine Learning Concepts
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Overview of Essential ML Libraries
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Hands-on Coding Exercise with a Simple Dataset
This course provides a solid foundation in Python programming and a walkthrough of essential machine learning techniques and algorithms, empowering you to start building your own machine learning projects!
Total Students | 780 |
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Original Price($) | |
Sale Price | Free |
Number of lectures | 28 |
Number of quizzes | 0 |
Total Reviews | 4 |
Global Rating | 5 |
Instructor Name | Yasir Mehmood |
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