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Machine Learning Methods for beginners

Track :

Artificial Intelligence

Lessons no : 5

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What will you learn in this course?
  • Understand and apply supervised learning techniques like regression and classification for data analysis and prediction
  • Implement unsupervised learning methods such as clustering and dimensionality reduction for pattern recognition and data exploration
  • Utilize ensemble learning approaches to improve model accuracy and robustness in machine learning projects
  • Develop and deploy deep learning models, including neural networks and convolutional networks, for complex data tasks

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Lessons | 5


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4.3
18 Reviews

Oyetunde Sheriffdeen Olamilkan

The course is introduce me to machine learning techniques
2025-10-31

Eyerusalem Welay

wow
2025-05-31

Yash S

good
2025-05-22

Samreen Shaik

It was very helpful
2025-04-29

Pawar Laxman

It's good
2025-03-25

Bereketab Alem

I like it
2025-03-13

Bitanya Wondimagegn Tesfaye

it is a great site to learn
2025-02-03

Meron Tekle

it's good
2025-01-28

Hanim abdurezak

great
2025-01-11

Hawi Genene

Good
2025-01-09

Sofia Batool

good
2024-11-21

Mohamad Ardi

Good
2024-08-31

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Machine Learning Methods course in hindi, in this course we will learn about the machine learning methods used to analyze and extract patterns from data. Topics include supervised learning techniques such as regression and classification, unsupervised learning methods like clustering and dimensionality reduction, and ensemble learning approaches. Additionally, we'll explore deep learning models such as neural networks and convolutional networks. Practical applications and hands-on exercises will solidify understanding of these methods in real-world contexts.