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TORRENT DETAILS

[ WebToolTip.com ] Udemy - Machine Learning Explained - A Complete Conceptual Guide

TORRENT SUMMARY

	Status:	This torrent has NOT been verified.
Category:	Other
Infohash	6f70d87a81fb7067103dea18366e10a8325998ac
Size:	1.3 GB in 32 files
Release Date(s):	Torrent Release: 31-12-2025 by user
Swarm:	14 Seeds & 1 Peers
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DESCRIPTION

Machine Learning Explained: A Complete Conceptual Guide

https://WebToolTip.com

Published 12/2025

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz

Language: English | Size: 1.34 GB | Duration: 3h 3m

A Complete Conceptual Guide to Machine Learning Without Coding

What you'll learn

What Machine Learning is and how it differs from traditional programming

Key ML terms, concepts, and categories

How ML is used in the real world

What data means in ML

Types of data and how it affects model performance

What features are and why they matter

How feature engineering improves results

How supervised learning works

Difference between classification and regression

How ML models learn from labeled data

Overfitting, underfitting, and generalization

What unsupervised learning is

How algorithms find hidden patterns

Understanding clustering

Understanding dimensionality reduction

What reinforcement learning is

How agents learn through rewards and actions

Real-world examples of RL

What model evaluation means

Bias, variance, and the trade-off

Choosing the right evaluation metric

How to think about improving model performance

What deep learning is

How artificial neural networks work

How neural networks learn

Where deep learning is used in the real world

How ML projects are planned from start to finish

Steps involved in building an ML solution

Common challenges teams face in real-world ML work

What responsible and ethical AI means

How all ML concepts connect

How to continue learning ML after this course

How to build confidence in understanding ML ideas

Requirements

No prior experience needed; just basic computer use and an interest in understanding Machine Learning concepts.

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FILE LIST

Filename		Size
	~Get Your Files Here !/1 - Introduction to Machine Learning/1 - Introduction to machine learning course.mp4	28.9 MB
	~Get Your Files Here !/1 - Introduction to Machine Learning/2 - What is Machine Learning.mp4	34.7 MB
	~Get Your Files Here !/1 - Introduction to Machine Learning/3 - Traditional Programming vs Machine Learning Approach.mp4	40.7 MB
	~Get Your Files Here !/1 - Introduction to Machine Learning/4 - Types of Machine Learning.mp4	42.1 MB
	~Get Your Files Here !/1 - Introduction to Machine Learning/5 - Core Components of a Machine Learning System.mp4	65.4 MB
	~Get Your Files Here !/2 - Data and Feature Engineering/6 - Understanding Data in Machine Learning.mp4	27.2 MB
	~Get Your Files Here !/2 - Data and Feature Engineering/7 - Data Preprocessing Concepts.mp4	86.3 MB
	~Get Your Files Here !/2 - Data and Feature Engineering/8 - Feature Engineering and Feature Selection.mp4	43.1 MB
	~Get Your Files Here !/3 - Supervised Learning Core Concepts/10 - Regression Algorithms Concepts Only.mp4	19.3 MB
	~Get Your Files Here !/3 - Supervised Learning Core Concepts/11 - Classification Algorithms Concepts Only.mp4	40.9 MB
	~Get Your Files Here !/3 - Supervised Learning Core Concepts/12 - Evaluating Supervised Models.mp4	42.7 MB
	~Get Your Files Here !/3 - Supervised Learning Core Concepts/9 - Introduction to Supervised Learning.mp4	30.4 MB
	~Get Your Files Here !/4 - Unsupervised Learning Discovering Hidden Patterns/13 - Introduction to Unsupervised Learning.mp4	51 MB
	~Get Your Files Here !/4 - Unsupervised Learning Discovering Hidden Patterns/14 - Clustering Techniques.mp4	28.1 MB
	~Get Your Files Here !/4 - Unsupervised Learning Discovering Hidden Patterns/15 - Dimensionality Reduction.mp4	33.6 MB
	~Get Your Files Here !/5 - Reinforcement Learning Conceptual Overview/16 - Introduction to Reinforcement Learning.mp4	79.5 MB
	~Get Your Files Here !/5 - Reinforcement Learning Conceptual Overview/17 - Core Concepts in RL.mp4	24.9 MB
	~Get Your Files Here !/5 - Reinforcement Learning Conceptual Overview/18 - Popular RL Algorithms Conceptual.mp4	41.9 MB
	~Get Your Files Here !/6 - Model Evaluation and Improvement/19 - Train Validation and Test Splits.mp4	34.7 MB
	~Get Your Files Here !/6 - Model Evaluation and Improvement/20 - CrossValidation Concept.mp4	19.2 MB
	~Get Your Files Here !/6 - Model Evaluation and Improvement/21 - Model Optimization and Hyperparameter Tuning.mp4	49.2 MB
	~Get Your Files Here !/6 - Model Evaluation and Improvement/22 - Bias and Variance Revisited.mp4	48.4 MB
	~Get Your Files Here !/7 - Deep Learning Conceptual Foundations/23 - What is Deep Learning.mp4	55.5 MB
	~Get Your Files Here !/7 - Deep Learning Conceptual Foundations/24 - Artificial Neural Networks The Concept.mp4	65.5 MB
	~Get Your Files Here !/7 - Deep Learning Conceptual Foundations/25 - Learning Process in Neural Networks.mp4	65.3 MB
	~Get Your Files Here !/7 - Deep Learning Conceptual Foundations/26 - Applications of Deep Learning.mp4	29.4 MB
	~Get Your Files Here !/8 - Machine Learning Project Lifecycle/27 - Steps of a Machine Learning Project.mp4	31.1 MB
	~Get Your Files Here !/8 - Machine Learning Project Lifecycle/28 - Challenges in RealWorld ML Projects.mp4	39.2 MB
	~Get Your Files Here !/8 - Machine Learning Project Lifecycle/29 - Ethics and Responsible AI.mp4	61.6 MB
	~Get Your Files Here !/9 - Course Summary and Recap/30 - Big Picture Recap.mp4	61.1 MB
	~Get Your Files Here !/9 - Course Summary and Recap/31 - Next Steps in Your ML Learning Journey.mp4	46.5 MB
	~Get Your Files Here !/Bonus Resources.txt	70 B

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