Machine Learning Implementation With Scikit-Learn | Complete ML Tutorial for Beginners to Advanced

Опубликовано: 20 Апрель 2026
на канале: AI with Noor

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#machinelearning #datascience #python #aiwithnoor
Master Machine Learning from scratch using Scikit-Learn in this complete hands-on course! Learn everything from data preprocessing, feature engineering, classification, regression, clustering, NLP, and deep learning — all implemented with sklearn. Perfect for students, researchers, and developers who want a practical, end-to-end understanding of ML with real-world examples.
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Code: https://github.com/611noorsaeed/Sciki...
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00:00:00 -- Intro
00:00:14 -- Train Test Splits
00:08:33 -- Data Encoding, Label Encoder
00:14:27 -- Data Encoding, Ordinal Encoder
00:20:56 -- Data Encoding, One Hot Encoder
00:32:46 -- Data Scaling, Normalization, Standardization
00:50:28 -- Training ML Models, Single VS Multiple Models
01:05:10 -- Hyper Parameters Tuning, Grid Search CV
01:19:04 -- Models Evaluation, Confusion Matrix, Classification Report
01:33:31 -- Filling Missing Values, Simple Imputer
01:40:04 -- Model Inference, Prediction System
01:49:13 -- Imbalance Dataset
02:05:22 -- Pipeline, Column Transformer
02:15:56 -- Pipeline with column transformer
02:21:56 -- Deep Learning With Sklearn
02:42:09 -- Functional Transformers
02:58:16 -- Power Transformers
03:09:41 -- NLP With Sklearn
04:12:43 -- Recommendation Systems
04:41:33 -- Unsupervised Learning, Clustering
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