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Getting started with machine learning in Python webcast

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Sampoorna

It's very nice session 2025-06-17

Md Abid Hossain Mondal

good 2025-06-12

Lama Bndr

Good 2025-06-09

Surabhi.M.Dandannavar

nice experience 2025-06-07

Mohammad Siddiq

good 2025-06-02

Oscar Wilde

Il faut vraiment être dingue pour ne pas aimer ce site. 2025-05-31

Mouli CM

nice course 2025-05-31

Goyani dhruvisha rameshbhai

Very good 2025-05-31

DHANUJA. A

good 2025-05-30

Priya Bisht

it was good 2025-05-29

Devisetty Charmi

good 2025-05-27

Abraham Samuel

very nice 2025-05-27


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Course Description

Python machine learning from scratch, in this course we will learn about implementing core machine learning algorithms using Python, without relying on high-level libraries like scikit-learn or TensorFlow. You'll build a solid foundation by coding algorithms such as linear regression, logistic regression, decision trees, k-nearest neighbors, and k-means clustering entirely from scratch. Through this hands-on approach, you'll gain deep insight into how these algorithms work under the hood, including concepts like gradient descent, loss functions, model evaluation, and data preprocessing. The course emphasizes mathematical understanding and Python implementation, helping you strengthen both your coding and analytical skills. By the end of the course, you’ll have developed your own machine learning library and be equipped to create and explain ML models from first principles. Basic Python and math knowledge are required. This course is ideal for anyone looking to truly master machine learning fundamentals. Data School
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