Download Udemy - The Fun And Easy Guide To Machine Learning Using Keras torrent

Udemy - The Fun And Easy Guide To Machine Learning Using Keras

Torrent:	Udemy - The Fun And Easy Guide To Machine Learning Using Keras
Description:	The Fun And Easy Guide To Machine Learning Using Keras https://DevCourseWeb.com Last updated 1/2019 MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz Language: English \| Size: 1.13 GB \| Duration: 5h 10m Learn 16 Machine Learning Algorithms in a Fun and Easy along with Practical Python Labs using Keras What you'll learn You will learn the fundamentals of the main Machine Learning Algorithms and how they work on an Intuitive level. We teach you these algorithms without boring you with the complex mathematics and equations. You will learn how to implement these algorithms in Python using sklearn and numpy. You will learn how to implement neural networks using the h2o package You will learn to implement some of the most common Deep Learning algorithms in Keras Build an arsenal of powerful Machine Learning models and how to use them to solve any problem. You will learn to Automate Manual Data Analysis Tasks. Requirements PC/ Laptop to implement the Practical Labs, running Windows or Mac. High school knowledge in mathematics. Willingness to Learn and Open Mind. Background in engineering, data science, computer science and statistics is recommended (but not a requirement) Basic Python or Programming Background recommended (but not a requirement).
Downloads:	9
Category:	Other /Tutorials
Size:	1.1 GB
Show Files »	[ DevCourseWeb.com ] Udemy - The Fun And Easy Guide To Machine Learning Using Keras Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction 1 - Introduction English.vtt (0.9 KB) 1 - Introduction.mp4 (13.7 MB) 10 - Support Vector Machines SVM 18 - Support Vector Machine Theory English.vtt (0.9 KB) 18 - Support Vector Machine Theory.mp4 (43.9 MB) 19 - Linear SVM Practical Labs English.vtt (0.9 KB) 19 - Linear SVM Practical Labs.mp4 (8.0 MB) 20 - Non Linear SVM Practical Labs English.vtt (0.9 KB) 20 - Non Linear SVM Practical Labs.mp4 (4.7 MB) 11 - Naive Bayes 21 - Naive Bayes Theory English.vtt (0.9 KB) 21 - Naive Bayes Theory.mp4 (51.5 MB) 22 - Naive Bayes Practical Labs English.vtt (0.9 KB) 22 - Naive Bayes Practical Labs.mp4 (15.2 MB) 12 - Clustering 23 - Clustering.html (0.7 KB) 13 - K Means Clustering 24 - K Means Clustering English.vtt (0.9 KB) 24 - K Means Clustering.mp4 (46.1 MB) 25 - K Means Clustering Practical Labs Part A English.vtt (0.9 KB) 25 - K Means Clustering Practical Labs Part A.mp4 (17.1 MB) 26 - K Means Clustering Practical Labs Part B English.vtt (0.9 KB) 26 - K Means Clustering Practical Labs Part B.mp4 (10.6 MB) 14 - Hierarchical Clustering 27 - Hierarchical Clustering Theory English.vtt (0.9 KB) 27 - Hierarchical Clustering Theory.mp4 (42.6 MB) 28 - Hierarchical clustering Practical Labs English.vtt (0.9 KB) 28 - Hierarchical clustering Practical Labs.mp4 (35.4 MB) 29 - Review Lecture English.vtt (0.9 KB) 29 - Review Lecture.mp4 (4.3 MB) 15 - Association Rule Learning 30 - Associated Rule Learning.html (0.4 KB) 16 - Eclat and Apior 31 - Apriori English.vtt (0.9 KB) 31 - Apriori.mp4 (54.0 MB) 32 - Apriori Practical Labs English.vtt (0.9 KB) 32 - Apriori Practical Labs.mp4 (25.6 MB) 33 - Eclat Theory English.vtt (0.9 KB) 33 - Eclat Theory.mp4 (28.0 MB) 34 - Eclat Practical Labs English.vtt (0.9 KB) 34 - Eclat Practical Labs.mp4 (17.6 MB) 17 - Dimensionality Reduction 35 - Dimensionality Reduction.html (0.5 KB) 18 - Principal Component Analysis 36 - Principal Component Analysis Theory English.vtt (0.9 KB) 36 - Principal Component Analysis Theory.mp4 (55.6 MB) 37 - PCA Practical Labs English.vtt (0.9 KB) 37 - PCA Practical Labs.mp4 (7.9 MB) 19 - Linear Discriminant Analysis LDA 38 - Linear Discriminant Analysis Theory English.vtt (0.9 KB) 38 - Linear Discriminant Analysis Theory.mp4 (38.7 MB) 39 - Linear Discriminant Analysis LDA Practical Labs English.vtt (0.9 KB) 39 - Linear Discriminant Analysis LDA Practical Labs.mp4 (11.5 MB) 2 - Setting up your Python Integrated Development Environment IDE for Course Labs 2 - Download and Install Python Anaconda Distribution English.vtt (0.9 KB) 2 - Download and Install Python Anaconda Distribution.mp4 (21.6 MB) 3 - Hello World in Jupyter Notebook English.vtt (0.9 KB) 3 - Hello World in Jupyter Notebook.mp4 (34.6 MB) 4 - Installation for Mac Users English.vtt (0.9 KB) 4 - Installation for Mac Users.mp4 (8.9 MB) 5 - Datasets Python Notebooks and Scripts For the Course.html (0.2 KB) PythonML_is_fun Apriori.ipynb (20.6 KB) CNN_code2.ipynb (7.6 KB) Check_OLS conditions.ipynb (196.2 KB) Implement_OLS.ipynb (22.9 KB) Lecture10_Apriori.ipynb (27.5 KB) Lecture2_DecisionTreeRegression.ipynb (11.0 KB) Lecture7_NaiveBayes.ipynb (15.1 KB) LogisticRegression.ipynb (42.5 KB) RandomForest.ipynb (16.2 KB) Section11_Lecture103.ipynb (6.7 KB) Section11_Lecture104.ipynb (10.0 KB) data.txt (0.1 KB) eclat.ipynb (18.1 KB) git COMMIT_EDITMSG (0.0 KB) HEAD (0.0 KB) config (0.3 KB) description (0.1 KB) hooks applypatch-msg.sample (0.5 KB) commit-msg.sample (0.9 KB) post-update.sample (0.2 KB) pre-applypatch.sample (0.4 KB) pre-commit.sample (1.6 KB) pre-push.sample (1.3 KB) pre-rebase.sample (4.8 KB) prepare-commit-msg.sample (1.2 KB) update.sample (3.5 KB) index (3.0 KB) info exclude (0.2 KB) logs HEAD (0.6 KB) refs heads master (0.6 KB) remotes origin master (0.6 KB) objects 03 527d724f43922fa57bef8af3f98e0709fe654f (146.2 KB) 04 ad704706f0290e503b863a00aebd4589e1e072 (2.9 KB) b2c03e39f412d87028e06360d4dc57b878c90f (142.3 KB) 09 0eea18ded5cc0617ef8e4943c3f195ac22c522 (5.5 KB) 0e 07b1e04841836de93894c919dce9907e1c0914 (0.5 KB) 10 b1f43cc9ec97c35ea0903221367bd3ed9ffeb8 (3.9 KB) files
Added:	2023-02-04 00:07:14
Language:	English
Peers:	Seeders : 1 , Leechers : 6
Tags:	Development Data Science Udemy
Release name:	Udemy - The Fun And Easy Guide To Machine Learning Using Keras
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