Udemy - Machine Learning Explained - A Complete Conceptual Guide

Category Other
Type Tutorials
Language English
Total size 1.3 GB
Uploaded By freecoursewb

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Date uploaded 6 hours ago
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Infohash : 6F70D87A81FB7067103DEA18366E10A8325998AC

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.

                Files: 

                [ WebToolTip.com ] Udemy - Machine Learning Explained - A Complete Conceptual Guide
Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here !1 - Introduction to Machine Learning1 - Introduction to machine learning course.mp4 (28.9 MB)
- What is Machine Learning.mp4 (34.7 MB)
- Traditional Programming vs Machine Learning Approach.mp4 (40.7 MB)
- Types of Machine Learning.mp4 (42.1 MB)
- Core Components of a Machine Learning System.mp4 (65.4 MB)
- Data and Feature Engineering6 - Understanding Data in Machine Learning.mp4 (27.2 MB)
- Data Preprocessing Concepts.mp4 (86.3 MB)
- Feature Engineering and Feature Selection.mp4 (43.1 MB)
- Supervised Learning Core Concepts10 - Regression Algorithms Concepts Only.mp4 (19.3 MB)
- Classification Algorithms Concepts Only.mp4 (40.9 MB)
- Evaluating Supervised Models.mp4 (42.7 MB)
- Introduction to Supervised Learning.mp4 (30.4 MB)
- Unsupervised Learning Discovering Hidden Patterns13 - Introduction to Unsupervised Learning.mp4 (51.0 MB)
- Clustering Techniques.mp4 (28.1 MB)
- Dimensionality Reduction.mp4 (33.6 MB)
- Reinforcement Learning Conceptual Overview16 - Introduction to Reinforcement Learning.mp4 (79.5 MB)
- Core Concepts in RL.mp4 (24.9 MB)
- Popular RL Algorithms Conceptual.mp4 (41.9 MB)
- Model Evaluation and Improvement19 - Train Validation and Test Splits.mp4 (34.7 MB)
- CrossValidation Concept.mp4 (19.2 MB)
- Model Optimization and Hyperparameter Tuning.mp4 (49.2 MB)
- Bias and Variance Revisited.mp4 (48.4 MB)
- Deep Learning Conceptual Foundations23 - What is Deep Learning.mp4 (55.5 MB)
- Artificial Neural Networks The Concept.mp4 (65.5 MB)
- Learning Process in Neural Networks.mp4 (65.3 MB)
- Applications of Deep Learning.mp4 (29.4 MB)
- Machine Learning Project Lifecycle27 - Steps of a Machine Learning Project.mp4 (31.1 MB)
- Challenges in RealWorld ML Projects.mp4 (39.2 MB)
- Ethics and Responsible AI.mp4 (61.6 MB)
- Course Summary and Recap30 - Big Picture Recap.mp4 (61.1 MB)
- Next Steps in Your ML Learning Journey.mp4 (46.5 MB)
Bonus Resources.txt (0.1 KB)

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