[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fzPuTJ5RRIQBMJJssd_ABWmAnEbO5dViNQ_tAC5WqR20":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":23,"last_checked_at":16,"user_id":16,"submit_flag":20,"uploaded_at":24,"created_at":25,"updated_at":25,"slugged_title":26,"category_name":27,"subcategory_name":28,"uploaded_ago":29,"category":30,"subcategory":31,"comments":33},6580609,"Udemy - Complete Machine Learning and Data Science With Python ML A-Z",9,34,"freecoursewb",35420,"3.1 GB",14252,10807,"E29283A905908EFD175A1DBB0EFA9FC7D00DBE07","English","",null,"magnet:?xt=urn:btih:E29283A905908EFD175A1DBB0EFA9FC7D00DBE07&dn=Udemy+-+Complete+Machine+Learning+and+Data+Science+With+Python++ML+A-Z&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> Complete Machine Learning & Data Science With Python | ML A-Z  \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 6/2021\n\u003Cbr>MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz\n\u003Cbr>Language: English | Size: 3.13 GB | Duration: 11h 13m\n\u003Cbr>\u003Cbr>Learn Numpy, Pandas, Matplotlib, Seaborn, Scipy, Supervised & Unsupervised Machine Learning A-Z and feature engineering\n\u003Cbr>\u003Cbr>What you'll learn\n\u003Cbr>Data Science libraries like Numpy , Pandas , Matplotlib, Scipy, Scikit Learn, Seaborn , Plotly and many more\n\u003Cbr>Machine learning Concept and Different types of Machine Learning\n\u003Cbr>Machine Learning Algorithms like Regression, Classification, Naive Bayes Classifier, Decision Tree, Support Vector Machine Algorithm etc..\n\u003Cbr>Feature engineering\n\u003Cbr>Python Basics\n\u003Cbr>\u003Cbr>Requirements\n\u003Cbr>No previous programming experience needed.\u003C/p>","\u003Ch2>Files: \u003C/h2>\n                            \u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>[ WebToolTip.com ] Udemy - Complete Machine Learning and Data Science With Python  ML A-Z\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\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>1 - What is Data Science English.vtt (7.7 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>1 - What is Data Science.mp4 (34.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>2 - Describe Artificial Intelligence and Machine Learning and Deep Learning English.vtt (4.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>2 - Describe Artificial Intelligence and Machine Learning and Deep Learning.mp4 (20.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>3 - Concept of Machine Learning English.vtt (10.2 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>3 - Concept of Machine Learning.mp4 (44.6 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>10 - Project Customer Segmentation using Clustering\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>58 - Customer Segmentation Part 1 English.vtt (6.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>58 - Customer Segmentation Part 1.mp4 (23.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>59 - Bank-Customer-Segmentation.ipynb (1.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>59 - Customer Segmentation Part 2 English.vtt (15.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>59 - Customer Segmentation Part 2.mp4 (102.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>60 - Customer segmentation 3 English.vtt (15.7 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>60 - Customer segmentation 3.mp4 (105.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>61 - Customer Segmentation Part 4 English.vtt (11.7 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>61 - Customer Segmentation Part 4.mp4 (84.5 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>11 - Project Fake News Detection using machine learning Python\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>62 - Fake News Detection using machine learning Python English.vtt (9.2 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>62 - Fake News Detection using machine learning Python.mp4 (35.1 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>12 - Project COVID19 Coronavirus Infection Probability using machine learning\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>63 - Project COVID19 Coronavirus Infection Probability using machine learning English.vtt (10.2 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>63 - Project COVID19 Coronavirus Infection Probability using machine learning.mp4 (44.8 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>13 - Miscellaneous\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>64 - Underfitting Overfitting and best fitting in Machine Learning English.vtt (7.6 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>64 - Underfitting Overfitting and best fitting in Machine Learning.mp4 (48.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>65 - How to avoid Overfitting in Machine Learning English.vtt (8.1 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>65 - How to avoid Overfitting in Machine Learning.mp4 (47.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>66 - Applications of Artificial Intelligence English.vtt (15.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>66 - Applications of Artificial Intelligence.mp4 (73.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>67 - Teachable Machine English.vtt (12.8 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>67 - Teachable Machine.mp4 (37.6 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>14 - Python Crash Course\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>68 - Python Basic Introduction English.vtt (9.2 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>68 - Python Basic Introduction.mp4 (41.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>69 - Getting Started with Python English.vtt (14.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>69 - Getting Started with Python.mp4 (42.3 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>70 - Python Data TypesNumbers English.vtt (6.8 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>70 - Python Data TypesNumbers.mp4 (22.3 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>71 - Python Data TypesStrings English.vtt (10.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>71 - Python Data TypesStrings.mp4 (26.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>72 - Python Data TypesLists English.vtt (11.1 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>72 - Python Data TypesLists.mp4 (31.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>73 - Python Data Types Dictionary English.vtt (9.6 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>73 - Python Data Types Dictionary.mp4 (23.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>74 - Python Data Types Sets English.vtt (12.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>74 - Python Data Types Sets.mp4 (38.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>75 - Python Loops English.vtt (13.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>75 - Python Loops.mp4 (41.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>76 - Decision Making English.vtt (14.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>76 - Decision Making.mp4 (44.0 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>77 - Control Statements English.vtt (14.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>77 - Control Statements.mp4 (42.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>78 - Python Functions English.vtt (20.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>78 - Python Functions.mp4 (86.0 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>2 - Installation and Colab\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>4 - Google Colab Introduction English.vtt (5.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>4 - Google Colab Introduction.mp4 (13.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>5 - Anaconda Installation English.vtt (7.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>5 - Anaconda Installation.mp4 (33.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>6 - Jupyter Notebook English.vtt (4.6 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>6 - Jupyter Notebook.mp4 (14.0 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>3 - Python for Data Analysis Numpy\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>7 - Python for Data Analysis Numpy English.vtt (16.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>7 - Python for Data Analysis Numpy.mp4 (65.3 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>8 - linear algebra for data science English.vtt (12.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>8 - linear algebra for data science.mp4 (48.3 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>4 - Python for Data Analysis Pandas\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>10 - Pandas DataFrames English.vtt (10.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>10 - Pandas DataFrames.mp4 (44.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>11 - Grouping and Filtering English.vtt (8.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>11 - Grouping and Filtering.mp4 (35.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>12 - Slicing and Sorting English.vtt (6.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>12 - Slicing and Sorting.mp4 (26.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>13 - Pandas Missing Values English.vtt (10.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>13 - Pandas Missing Values.mp4 (47.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>13 - pandas-flightsexample.ipynb (60.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>14 - Pandas Aggregation Functions English.vtt (7.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>14 - Pandas Aggregation Functions.mp4 (29.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>14 - pandas-aggregate.ipynb (20.0 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>9 - Pandas Series English.vtt (14.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>9 - Pandas Series.mp4 (49.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>9 - pandas-series.ipynb (46.4 KB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>5 - Python for Data Visualization Matplotlib\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>15 - Matplotlib Introduction English.vtt (12.1 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>15 - Matplotlib Introduction.mp4 (45.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>16 - Matplotlib Bar Graphs English.vtt (5.1 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>16 - Matplotlib Bar Graphs.mp4 (24.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>16 - matplotlib-bargraph-histogram.ipynb (95.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>17 - Matplotlib Histogram English.vtt (3.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>17 - Matplotlib Histogram.mp4 (15.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>18 - Matplotlib Scatter Plot English.vtt (5.3 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>18 - Matplotlib Scatter Plot.mp4 (18.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>18 - matplotliob-scatterplot.ipynb (32.5 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>19 - Matplotlib Area Plot English.vtt (3.9 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>19 - Matplotlib Area Plot.mp4 (16.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>19 - area-plot.ipynb (21.2 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>20 - Matplotlib Pie Chart English.vtt (2.7 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>20 - Matplotlib Pie Chart.mp4 (9.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>20 - pie-chart.ipynb (14.1 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>21 - Matplotlib Subplots English.vtt (4.4 KB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>21 - Matplotlib Subplots.mp4 (12.7 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>6 - Supervised Machine Learnin                        \u003C/span>\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. 06th '26","Feb. 07th '26","2026-02-10 10:49:10","2026-02-10T10:49:10.000000Z","udemy-complete-machine-learning-and-data-science-with-python-ml-a-z","Other","Tutorials","Feb. 10th '26",{"id":6,"name":27},{"id":7,"name":28,"icon":32},"flaticon-tutorial",[]]