https://img87.pixhost.to/images/599/359020115_tuto.jpg
4.2 GB | 00:30:14 | mp4 | 1920X1080  | 16:9
Genre:eLearning |Language:English


Files Included :
001  Course Overview  (69.36 MB)
001  Lesson 1 1 Biggest Milestones in AI History  (77.14 MB)
002  Lesson 1 2 Artificial Intelligence Principles  (90.33 MB)
001  Lesson 2 1 Introduction to the Mathematical Principles of Machine Learning  (154.08 MB)
002  Lesson 2 2 Vectors  (126.46 MB)
003  Lesson 2 3 Matrices Basics  (170.21 MB)
004  Lesson 2 4 Matrices Decomposition  (104.27 MB)
001  Lesson 3 1 Introduction to the Statistical Principles of Machine Learning  (127.49 MB)
002  Lesson 3 2 Probability Distributions  (116.83 MB)
003  Lesson 3 3 Descriptive Statistics Basics for Machine Learning - Measures of Central Tendency  (108.8 MB)
004  Lesson 3 4 Descriptive Statistics Basics for Machine Learning - Measures of Dispersion  (117.23 MB)
005  Lesson 3 5 Statistical Inference and Modeling Basics  (129.3 MB)
001  Lesson 4 1 Supervision in Machine Learning  (165.77 MB)
002  Lesson 4 2 Introduction to Feature Engineering  (161.73 MB)
003  Lesson 4 3 Intro to Regression and Regression Metrics  (99.35 MB)
004  Lesson 4 4 Linear Regression Basics - Closed-form solution  (129.73 MB)
005  Lesson 4 5 Linear Regression Basics - Multivariate Regression  (69.68 MB)
006  Lesson 4 6 Linear Regression in Python - Simple and Multivariate Regression  (125.4 MB)
007  Lesson 4 7 Linear Regression in Python - Testing the Assumptions  (141.76 MB)
008  Lesson 4 8 Intro to Classification  (56.71 MB)
009  Lesson 4 9 Classification Metrics  (146.58 MB)
010  Lesson 4 10 Class Imbalance Problems  (153.74 MB)
011  Lesson 4 11 Logistic Regression Basics  (111.54 MB)
012  Lesson 4 12 Decision Trees Basics  (156.68 MB)
013  Lesson 4 13 Supervised Learning in Python  (194.05 MB)
014  Lesson 4 14 Introduction to Hyperparameter Optimization  (163.64 MB)
001  Lesson 5 1 Unsupervised Machine Learning  (106.81 MB)
002  Lesson 5 2 Clustering Basics  (62 MB)
003  Lesson 5 3 k-Means Clustering  (141.44 MB)
004  Lesson 5 4 Principal Component Analysis (PCA) Basics  (119.91 MB)
005  Lesson 5 5 Unsupervised Learning in Python  (163.25 MB)
001  Lesson 6 1 Introduction to Natural Language Processing (NLP)  (133.5 MB)
002  Lesson 6 2 Text Representation Methods - Part 1 Bag-of-Words & N-Grams  (104.49 MB)
003  Lesson 6 3 Text Representation Methods - Part 2 TF-IDF Method  (123.61 MB)
004  Lesson 6 4 Text Representation Methods - Part 3 Word Embeddings  (76.88 MB)]
Screenshot
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Fikper

Код:
https://fikper.com/JASrvoU4kq/Machine.Learning.Fundamentals.A.Python-Based.Course.part1.rar.html
https://fikper.com/YIChyh99kO/Machine.Learning.Fundamentals.A.Python-Based.Course.part2.rar.html
https://fikper.com/OAI0DW9GD6/Machine.Learning.Fundamentals.A.Python-Based.Course.part3.rar.html

FileAxa

Код:
https://fileaxa.com/tiiyvcbszar0/Machine.Learning.Fundamentals.A.Python-Based.Course.part1.rar
https://fileaxa.com/g7vzbsj6zzxc/Machine.Learning.Fundamentals.A.Python-Based.Course.part2.rar
https://fileaxa.com/gykj0dh4p4g9/Machine.Learning.Fundamentals.A.Python-Based.Course.part3.rar

RapidGator

Код:
https://rapidgator.net/file/3f38ce77b253d51937d05bc6b17ac145/Machine.Learning.Fundamentals.A.Python-Based.Course.part1.rar
https://rapidgator.net/file/23bf7083dca4a359f5202cf88ac77ae5/Machine.Learning.Fundamentals.A.Python-Based.Course.part2.rar
https://rapidgator.net/file/8ae900a1122a48093f0173d68a5b4eb5/Machine.Learning.Fundamentals.A.Python-Based.Course.part3.rar

TurboBit

Код:
https://turbobit.net/t96wmzc64zo4/Machine.Learning.Fundamentals.A.Python-Based.Course.part1.rar.html
https://turbobit.net/2t987kq7u2dl/Machine.Learning.Fundamentals.A.Python-Based.Course.part2.rar.html
https://turbobit.net/le5qs4139tia/Machine.Learning.Fundamentals.A.Python-Based.Course.part3.rar.html