The Very Basic Machine Learning

[martinstronis654]

The Very Basic Machine Learning
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 456.34 MB | Duration: 1h 54m​

ML Models and How They Actually Work!

What you'll learn
Get the Basic Understanding of Machine Learning
Get to know the Mathematics behind Machine Learning
Get to know the how to apply ML Models on a Data Set using Python
Check the Accuracy of Your Model
Keep Learning as new Content shall keep coming in

Requirements
Basic Knowledge of Python Programming Langauge

Description
The Very Basic Machine Learning: ML Models and How They Actually Work!Are you intrigued by the world of Artificial Intelligence but feel overwhelmed by complex jargon and math?This course is designed for absolute beginners who want to demystify machine learning concepts. We'll dive deep into various ML models, breaking down complex algorithms into easy-to-understand explanations. This Course is specially recommended for those who are fed up of memorizing the Python Code and are frustrated because they have no idea what is happening at back end exactly. Basic Knowledge of Python shall be required in this Course.What you'll learn:Core ML Concepts: Understand the fundamental principles of machine learning.Practical Implementations: Learn how to build and deploy real-world ML models.Behind-the-Scenes Math: Explore the mathematical foundations of ML algorithms.Hands-on Projects: Gain practical experience through engaging projects.Why choose this course?Clear and Concise Explanations: We'll break down complex topics into simple, easy-to-follow lessons.Real-World Applications: Learn how ML is used in various industries.Lifetime Access: Get unlimited access to all future course content, including new models and techniques.Community Support: Connect with other learners and get help from experienced instructors.Let's embark on this exciting journey together and unlock the power of machine learning and the true understanding behind it.

Overview
Section 1: Introduction

Lecture 1 Dedication

Lecture 2 Science of Data and its Analysis

Lecture 3 The Very Basic Machine Learning - Kick Off

Section 2: Installation and Setup

Lecture 4 Anaconda - The Operating System of AI

Lecture 5 Access Jupyter Notebook using Anaconda Prompt

Section 3: k-Nearest Neighbors - Who lives along with You?

Lecture 6 KNN Algorithm - The Mathematics

Lecture 7 KNN Regressor - Python

Lecture 8 KNN Classifier - Python

Section 4: Linear Regression - We shall only follow the Straight Path!

Lecture 9 Linear Regression - The Mathematics

Beginners Python Developers Curious about Machine Learning

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