Download Udemy - Machine Learning Using Python Programming torrent

Udemy - Machine Learning Using Python Programming

Torrent:	Udemy - Machine Learning Using Python Programming
Description:	Machine Learning Using Python Programming https://WebToolTip.com Last updated 4/2023 MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz Language: English \| Size: 2.76 GB \| Duration: 8h 3m Learn the core concepts of Machine Learning and its algorithms and how to implement them in Python 3 What you'll learn Machine Learning Algorithms & Terminologies Artificial Intelligence Python Libraries - Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn Requirements Yes, A Basic Knowledge in Python is preferred
Downloads:	23
Category:	Other /Tutorials
Size:	2.8 GB
Show Files »	[ WebToolTip.com ] Udemy - Machine Learning Using Python Programming Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction to Machine Learning 1 - Introduction to Machine Learning English.vtt (6.7 KB) 1 - Introduction to Machine Learning.mp4 (30.6 MB) 2 - 2 Features of Machine Learning English.vtt (3.0 KB) 2 - 2 Features of Machine Learning.mp4 (17.3 MB) 3 - 3 Traditional Programming vs Machine Learning English.vtt (7.2 KB) 3 - 3 Traditional Programming vs Machine Learning.mp4 (21.9 MB) 10 - Support Vector Machines 45 - 42 Understanding Support Vector Machines and Hyperplanes English.vtt (13.5 KB) 45 - 42 Understanding Support Vector Machines and Hyperplanes.mp4 (52.6 MB) 46 - 43 Understanding the Kernels of SVM English.vtt (3.0 KB) 46 - 43 Understanding the Kernels of SVM.mp4 (13.7 MB) 47 - 44 Implementing Support Vector Classifiers in Python English.vtt (8.2 KB) 47 - 44 Implementing Support Vector Classifiers in Python.mp4 (52.3 MB) 11 - K Nearest Neighbors for Classification and Regression 48 - 45 Drawing the classification diagrams English.vtt (7.3 KB) 48 - 45 Drawing the classification diagrams.mp4 (30.5 MB) 49 - 46 Introduction to KNearest Neighbors English.vtt (3.8 KB) 49 - 46 Introduction to KNearest Neighbors.mp4 (16.2 MB) 50 - 47 Steps in KNN Classification and KNN Regression English.vtt (8.1 KB) 50 - 47 Steps in KNN Classification and KNN Regression.mp4 (35.9 MB) 51 - 48 Implementing KNN Classification using sklearn English.vtt (6.7 KB) 51 - 48 Implementing KNN Classification using sklearn.mp4 (53.6 MB) 52 - 49 Implementing KNN Regression Algorithm in Python I English.vtt (5.0 KB) 52 - 49 Implementing KNN Regression Algorithm in Python I.mp4 (32.5 MB) 53 - 50 Implementing KNN Regression Algorithm in Python II English.vtt (2.0 KB) 53 - 50 Implementing KNN Regression Algorithm in Python II.mp4 (18.3 MB) 12 - Decision Tree Classifier Algorithm 54 - 51 Introduction to Decision Trees English.vtt (0.9 KB) 54 - 51 Introduction to Decision Trees.mp4 (1.9 MB) 55 - 52 Basic Tree Terminologies English.vtt (18.8 KB) 55 - 52 Basic Tree Terminologies.mp4 (90.0 MB) 56 - 53 Example 1 for Decision Tree English.vtt (3.4 KB) 56 - 53 Example 1 for Decision Tree.mp4 (14.3 MB) 57 - 531 Example 2 for Decision Tree English.vtt (2.6 KB) 57 - 531 Example 2 for Decision Tree.mp4 (8.8 MB) 58 - 54 Implementation of Decision Tree Algorithm I English.vtt (3.5 KB) 58 - 54 Implementation of Decision Tree Algorithm I.mp4 (25.5 MB) 59 - 55 Implementation of Decision Tree Algorithm II English.vtt (2.7 KB) 59 - 55 Implementation of Decision Tree Algorithm II.mp4 (22.5 MB) 13 - Random Forest Classifier Algorithm 60 - 56 Ensemble Techniques Random Forest Classifier English.vtt (8.9 KB) 60 - 56 Ensemble Techniques Random Forest Classifier.mp4 (41.4 MB) 61 - 57 Implementing Random Classifier in Python English.vtt (7.2 KB) 61 - 57 Implementing Random Classifier in Python.mp4 (54.3 MB) 14 - Naive Bayes Algorithm 62 - 59 Naive Bayes Classifier English.vtt (13.6 KB) 62 - 59 Naive Bayes Classifier.mp4 (61.4 MB) 63 - 60 Implementing Naive Bayes Classifier for wine dataset English.vtt (16.9 KB) 63 - 60 Implementing Naive Bayes Classifier for wine dataset.mp4 (141.7 MB) 15 - Resources 64 - Download all the notebooks and datasets here.html (0.1 KB) Notebooks Decision Tree.ipynb (35.6 KB) KNN Regression.ipynb (35.8 KB) KNN.ipynb (4.5 KB) LinearRegression.ipynb (38.1 KB) LogisticRegression.ipynb (14.9 KB) MyFirstNotebook.ipynb (16.9 KB) Naive Bayes' Algorithm.ipynb (9.0 KB) Naive Bayes' Classifier.ipynb (26.3 KB) Preprocessing Techniques.ipynb (2.5 KB) Product.csv (10.7 KB) Random Forest Classifier.ipynb (9.0 KB) SVM.ipynb (8.3 KB) Salary_Data.csv (0.4 KB) car.csv (10.3 KB) 16 - KMeans Clustering 65 - The complete flow of KMeans Clustering English.vtt (19.3 KB) 65 - The complete flow of KMeans Clustering.mp4 (89.0 MB) 66 - The concept of Overfitting and Underfitting English.vtt (18.1 KB) 66 - The concept of Overfitting and Underfitting.mp4 (78.9 MB) 2 - Types of Machine Learning 4 - 4 Difference between Supervised and Unsupervised Learning English.vtt (9.1 KB) 4 - 4 Difference between Supervised and Unsupervised Learning.mp4 (39.2 MB) 5 - 5 Algorithms in Supervised and Unsupervised Learning English.vtt (3.8 KB) 5 - 5 Algorithms in Supervised and Unsupervised Learning.mp4 (12.9 MB) 3 - The Machine Learning Pipeline 10 - 10 Introduction to iPython Environment English.vtt (10.4 KB) 10 - 10 Introduction to iPython Environment.mp4 (51.6 MB) 11 - Important Libraries in Python.html (0.3 KB) 6 - 6 The Machine Learning Pipeline Data Collection English.vtt (9.4 KB) 6 - 6 The Machine Learning Pipeline Data Collection.mp4 (43.8 MB) 7 - 7 Importance of Data Prepocessing English.vtt (3.4 KB) 7 - 7 Importance of Data Prepocessing.mp4 (17.9 MB) 8 - 8 Importance of Feature Selection and Feature Engineering English.vtt (10.8 KB) 8 - 8 Importance of Feature Selection and Feature Engineering.mp4 (52.5 MB) 9 - 9 The Machine Learning Terminologies English.vtt (7.5 KB) 9 - 9 The Machine Learning Terminologies.mp4 (36.5 MB) 4 - Numpy Library 12 - 11Creating a numpy array English.vtt (17.0 KB) 12 - 11Creating a numpy array.mp4 (49.6 MB) 13 - 12 Processing the numpy arrays English.vtt (16.5 KB) 13 - 12 Processing the numpy arrays.mp4 (58.2 MB) 14 - 13 Accessing Columns from Numpy Matrices English.vtt (5.0 KB) 14 - 13 Accessing Columns from Nu files
Added:	2026-02-13 12:43:36
Language:	English
Peers:	Seeders : 1 , Leechers : 16
Tags:	Development Data Science Udemy
Release name:	Udemy - Machine Learning Using Python Programming
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