[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f01q0ZHTCHURzRe4GCatAyYKOYF_k0FL6Fgp3aISoQsw":3},{"id":4,"name":5,"category_id":6,"subcategory_id":7,"uploaded_by":8,"downloads":9,"size":10,"seeders":11,"leechers":12,"infohash":13,"language":14,"title":15,"slogan":15,"poster_alt":16,"description":15,"cover_image":15,"magnet_link":17,"stream_link":16,"content":18,"files":19,"comments_count":20,"tracker_list":21,"date_uploaded":22,"last_checked":22,"last_checked_at":16,"user_id":16,"submit_flag":20,"uploaded_at":23,"created_at":24,"updated_at":24,"slugged_title":25,"category_name":26,"subcategory_name":27,"uploaded_ago":28,"category":29,"subcategory":30,"comments":32},6584251,"Udemy - Machine Learning Using Python Programming",9,34,"freecoursewb",43154,"2.8 GB",18713,9700,"4B04682E96753357E602C43C536589886A306233","English","",null,"magnet:?xt=urn:btih:4B04682E96753357E602C43C536589886A306233&dn=Udemy+-+Machine+Learning+Using+Python+Programming&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Ftracker.tiny-vps.com%3A6969%2Fannounce&tr=http%3A%2F%2Ftracker.foreverpirates.co%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.cyberia.is%3A6969%2Fannounce&tr=udp%3A%2F%2Fexodus.desync.com%3A6969%2Fannounce&tr=udp%3A%2F%2Fexplodie.org%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2F9.rarbg.to%3A2780%2Fannounce&tr=udp%3A%2F%2Ftracker.internetwarriors.net%3A1337%2Fannounce&tr=udp%3A%2F%2Fipv4.tracker.harry.lu%3A80%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2F9.rarbg.to%3A2900%2Fannounce&tr=udp%3A%2F%2F9.rarbg.me%3A2720%2Fannounce&tr=udp%3A%2F%2Fopentor.org%3A2710%2Fannounce&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=http%3A%2F%2Ftracker.openbittorrent.com%3A80%2Fannounce&tr=udp%3A%2F%2Fopentracker.i2p.rocks%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.internetwarriors.net%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.leechers-paradise.org%3A6969%2Fannounce&tr=udp%3A%2F%2Fcoppersurfer.tk%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.zer0day.to%3A1337%2Fannounce","\u003Cp>\u003Cstrong> Machine Learning Using Python Programming  \u003C/strong>\n\u003Cbr>\u003Cbr>\u003Cspan style=\"font-size: 16px\">\u003Cstrong>\u003Ca target=\"_blank\" href=\"https://WebToolTip.com\">https://WebToolTip.com\u003C/a> \u003C/strong>\u003C/span>\n\u003Cbr>\u003Cbr>Last updated 4/2023\n\u003Cbr>MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz\n\u003Cbr>Language: English | Size: 2.76 GB | Duration: 8h 3m\n\u003Cbr>\u003Cbr>Learn the core concepts of Machine Learning and its algorithms and how to implement them in Python 3\n\u003Cbr>\u003Cbr>What you'll learn\n\u003Cbr>Machine Learning Algorithms & Terminologies\n\u003Cbr>Artificial Intelligence\n\u003Cbr>Python Libraries - Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn\n\u003Cbr>\u003Cbr>Requirements\n\u003Cbr>Yes, A Basic Knowledge in Python is preferred\u003C/p>","\u003Ch2>Files: \u003C/h2>\n                            \u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>[ WebToolTip.com ] Udemy - Machine Learning Using Python Programming\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Get Bonus Downloads Here.url (0.2 KB)\u003C/li>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>~Get Your Files Here !\u003C/span>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>1 - Introduction to Machine Learning\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>1 - Introduction to Machine Learning English.vtt (6.7 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>1 - Introduction to Machine Learning.mp4 (30.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>2 - 2 Features of Machine Learning English.vtt (3.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>2 - 2 Features of Machine Learning.mp4 (17.3 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>3 - 3 Traditional Programming vs Machine Learning English.vtt (7.2 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>3 - 3 Traditional Programming vs Machine Learning.mp4 (21.9 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>10 - Support Vector Machines\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>45 - 42 Understanding Support Vector Machines and Hyperplanes English.vtt (13.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>45 - 42 Understanding Support Vector Machines and Hyperplanes.mp4 (52.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>46 - 43 Understanding the Kernels of SVM English.vtt (3.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>46 - 43 Understanding the Kernels of SVM.mp4 (13.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>47 - 44 Implementing Support Vector Classifiers in Python English.vtt (8.2 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>47 - 44 Implementing Support Vector Classifiers in Python.mp4 (52.3 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>11 - K Nearest Neighbors for Classification and Regression\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>48 - 45 Drawing the classification diagrams English.vtt (7.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>48 - 45 Drawing the classification diagrams.mp4 (30.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>49 - 46 Introduction to KNearest Neighbors English.vtt (3.8 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>49 - 46 Introduction to KNearest Neighbors.mp4 (16.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>50 - 47 Steps in KNN Classification and KNN Regression English.vtt (8.1 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>50 - 47 Steps in KNN Classification and KNN Regression.mp4 (35.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>51 - 48 Implementing KNN Classification using sklearn English.vtt (6.7 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>51 - 48 Implementing KNN Classification using sklearn.mp4 (53.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>52 - 49 Implementing KNN Regression Algorithm in Python I English.vtt (5.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>52 - 49 Implementing KNN Regression Algorithm in Python I.mp4 (32.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>53 - 50 Implementing KNN Regression Algorithm in Python II English.vtt (2.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>53 - 50 Implementing KNN Regression Algorithm in Python II.mp4 (18.3 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>12 - Decision Tree Classifier Algorithm\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>54 - 51 Introduction to Decision Trees English.vtt (0.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>54 - 51 Introduction to Decision Trees.mp4 (1.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>55 - 52 Basic Tree Terminologies English.vtt (18.8 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>55 - 52 Basic Tree Terminologies.mp4 (90.0 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>56 - 53 Example 1 for Decision Tree English.vtt (3.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>56 - 53 Example 1 for Decision Tree.mp4 (14.3 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>57 - 531 Example 2 for Decision Tree English.vtt (2.6 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>57 - 531 Example 2 for Decision Tree.mp4 (8.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>58 - 54 Implementation of Decision Tree Algorithm I English.vtt (3.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>58 - 54 Implementation of Decision Tree Algorithm I.mp4 (25.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>59 - 55 Implementation of Decision Tree Algorithm II English.vtt (2.7 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>59 - 55 Implementation of Decision Tree Algorithm II.mp4 (22.5 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>13 - Random Forest Classifier Algorithm\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>60 - 56 Ensemble Techniques Random Forest Classifier English.vtt (8.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>60 - 56 Ensemble Techniques Random Forest Classifier.mp4 (41.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>61 - 57 Implementing Random Classifier in Python English.vtt (7.2 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>61 - 57 Implementing Random Classifier in Python.mp4 (54.3 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>14 - Naive Bayes Algorithm\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>62 - 59 Naive Bayes Classifier English.vtt (13.6 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>62 - 59 Naive Bayes Classifier.mp4 (61.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>63 - 60 Implementing Naive Bayes Classifier for wine dataset English.vtt (16.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>63 - 60 Implementing Naive Bayes Classifier for wine dataset.mp4 (141.7 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>15 - Resources\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-script\">\u003C/i>64 - Download all the notebooks and datasets here.html (0.1 KB)\u003C/li>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>Notebooks\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Decision Tree.ipynb (35.6 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>KNN Regression.ipynb (35.8 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>KNN.ipynb (4.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>LinearRegression.ipynb (38.1 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>LogisticRegression.ipynb (14.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>MyFirstNotebook.ipynb (16.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Naive Bayes' Algorithm.ipynb (9.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Naive Bayes' Classifier.ipynb (26.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Preprocessing Techniques.ipynb (2.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Product.csv (10.7 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Random Forest Classifier.ipynb (9.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>SVM.ipynb (8.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Salary_Data.csv (0.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>car.csv (10.3 KB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>16 - KMeans Clustering\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>65 - The complete flow of KMeans Clustering English.vtt (19.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>65 - The complete flow of KMeans Clustering.mp4 (89.0 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>66 - The concept of Overfitting and Underfitting English.vtt (18.1 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>66 - The concept of Overfitting and Underfitting.mp4 (78.9 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>2 - Types of Machine Learning\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>4 - 4 Difference between Supervised and Unsupervised Learning English.vtt (9.1 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>4 - 4 Difference between Supervised and Unsupervised Learning.mp4 (39.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>5 - 5 Algorithms in Supervised and Unsupervised Learning English.vtt (3.8 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>5 - 5 Algorithms in Supervised and Unsupervised Learning.mp4 (12.9 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>3 - The Machine Learning Pipeline\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>10 - 10 Introduction to iPython Environment English.vtt (10.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>10 - 10 Introduction to iPython Environment.mp4 (51.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-script\">\u003C/i>11 - Important Libraries in Python.html (0.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>6 - 6 The Machine Learning Pipeline Data Collection English.vtt (9.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>6 - 6 The Machine Learning Pipeline Data Collection.mp4 (43.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>7 - 7 Importance of Data Prepocessing English.vtt (3.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>7 - 7 Importance of Data Prepocessing.mp4 (17.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>8 - 8 Importance of Feature Selection and Feature Engineering English.vtt (10.8 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>8 - 8 Importance of Feature Selection and Feature Engineering.mp4 (52.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>9 - 9 The Machine Learning Terminologies English.vtt (7.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>9 - 9 The Machine Learning Terminologies.mp4 (36.5 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>4 - Numpy Library\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>12 - 11Creating a numpy array English.vtt (17.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>12 - 11Creating a numpy array.mp4 (49.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>13 - 12 Processing the numpy arrays English.vtt (16.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>13 - 12 Processing the numpy arrays.mp4 (58.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>14 - 13 Accessing Columns from Numpy Matrices English.vtt (5.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>14 - 13 Accessing Columns from Nu                        \u003C/li>\u003C/ul>\u003C/ul>\u003C/ul>",0,"\u003Ch3>\n                                Code:\n                            \u003C/h3>\n                            \u003Cul>\n                                \u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.torrent.eu.org:451/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.tiny-vps.com:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        http://tracker.foreverpirates.co:80/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.cyberia.is:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://exodus.desync.com:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://explodie.org:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.opentrackr.org:1337/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://9.rarbg.to:2780/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.internetwarriors.net:1337/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://ipv4.tracker.harry.lu:80/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://open.stealth.si:80/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://9.rarbg.to:2900/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://9.rarbg.me:2720/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://opentor.org:2710/announce                                    \u003C/li>                            \u003C/ul>","Feb. 13th '26","2026-02-15 06:26:29","2026-02-15T06:26:29.000000Z","udemy-machine-learning-using-python-programming","Other","Tutorials","Feb. 15th '26",{"id":6,"name":26},{"id":7,"name":27,"icon":31},"flaticon-tutorial",[]]