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Udemy AI and Python Development Megaclass 300 plus Hands on Projects

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迅雷链接
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Udemy AI and Python Development Megaclass 300 plus Hands on Projects

文件列表
  1. Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/88 Day 6 Sequence-to-Sequence Models and Applications.mp4149.74MB
  2. Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/2 Day 1 Introduction to Python and Development Setup.mp471.55MB
  3. Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/3 Day 2 Control Flow in Python.mp4113.9MB
  4. Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/4 Day 3 Functions and Modules.mp480.8MB
  5. Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/5 Day 4 Data Structures --(Lists, Tuples, Dictionaries, Sets--).mp4106.12MB
  6. Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/6 Day 5 Working with Strings.mp482.39MB
  7. Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/7 Day 6 File Handling.mp478.44MB
  8. Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/8 Day 7 Pythonic Code and Project Work.mp4137.61MB
  9. Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/10 Introduction to Week 2 Data Science Essentials.mp42.09MB
  10. Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/11 Day 1 Introduction to NumPy for Numerical Computing.mp479.69MB
  11. Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/12 Day 2 Advanced NumPy Operations.mp474.61MB
  12. Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/13 Day 3 Introduction to Pandas for Data Manipulation.mp468.52MB
  13. Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/14 Day 4 Data Cleaning and Preparation with Pandas.mp483.52MB
  14. Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/15 Day 5 Data Aggregation and Grouping in Pandas.mp452.1MB
  15. Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/16 Day 6 Data Visualization with Matplotlib and Seaborn.mp494.33MB
  16. Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/17 Day 7 Exploratory Data Analysis --(EDA--) Project.mp479.29MB
  17. Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/18 Introduction to Week 3 Mathematics for Machine Learning.mp42.11MB
  18. Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/19 Day 1 Linear Algebra Fundamentals.mp474.88MB
  19. Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/20 Day 2 Advanced Linear Algebra Concepts.mp468.59MB
  20. Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/21 Day 3 Calculus for Machine Learning --(Derivatives--).mp463.26MB
  21. Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/22 Day 4 Calculus for Machine Learning --(Integrals and Optimization--).mp450.37MB
  22. Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/23 Day 5 Probability Theory and Distributions.mp488.3MB
  23. Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/24 Day 6 Statistics Fundamentals.mp466.83MB
  24. Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/25 Day 7 Math-Driven Mini Project – Linear Regression from Scratch.mp446.36MB
  25. Chapter 4-Week 4 Probality and Statistics for Machine Learning and AI/26 Introduction to Week 4 Probability and Statistics for Machine Learning.mp42.41MB
  26. Chapter 4-Week 4 Probality and Statistics for Machine Learning and AI/27 Day 1 Probability Theory and Random Variables.mp464.65MB
  27. Chapter 4-Week 4 Probality and Statistics for Machine Learning and AI/28 Day 2 Probability Distributions in Machine Learning.mp459.53MB
  28. Chapter 4-Week 4 Probality and Statistics for Machine Learning and AI/29 Day 3 Statistical Inference - Estimation and Confidence Intervals.mp454.27MB
  29. Chapter 4-Week 4 Probality and Statistics for Machine Learning and AI/30 Day 4 Hypothesis Testing and P-Values.mp439.12MB
  30. Chapter 4-Week 4 Probality and Statistics for Machine Learning and AI/31 Day 5 Types of Hypothesis Tests.mp465.01MB
  31. Chapter 4-Week 4 Probality and Statistics for Machine Learning and AI/32 Day 6 Correlation and Regression Analysis.mp460.48MB
  32. Chapter 4-Week 4 Probality and Statistics for Machine Learning and AI/33 Day 7 Statistical Analysis Project – Analyzing Real-World Data.mp485.2MB
  33. Chapter 5-Week 5 Introduction to Machine Learning/34 Introduction to Week 5 Introduction to Machine Learning.mp42.29MB
  34. Chapter 5-Week 5 Introduction to Machine Learning/35 Day 1 Machine Learning Basics and Terminology.mp451.36MB
  35. Chapter 5-Week 5 Introduction to Machine Learning/36 Day 2 Introduction to Supervised Learning and Regression Models.mp452.76MB
  36. Chapter 5-Week 5 Introduction to Machine Learning/37 Day 3 Advanced Regression Models – Polynomial Regression and Regularization.mp4122.47MB
  37. Chapter 5-Week 5 Introduction to Machine Learning/38 Day 4 Introduction to Classification and Logistic Regression.mp484.5MB
  38. Chapter 5-Week 5 Introduction to Machine Learning/39 Day 5 Model Evaluation and Cross-Validation.mp455.39MB
  39. Chapter 5-Week 5 Introduction to Machine Learning/40 Day 6 k-Nearest Neighbors --(k-NN--) Algorithm.mp460.03MB
  40. Chapter 5-Week 5 Introduction to Machine Learning/41 Day 7 Supervised Learning Mini Project.mp486.7MB
  41. Chapter 6-Week 6 Feature Engineering and Model Evaluation/42 Introduction to Week 6 Feature Engineering and Model Evaluation.mp42.03MB
  42. Chapter 6-Week 6 Feature Engineering and Model Evaluation/43 Day 1 Introduction to Feature Engineering.mp449.86MB
  43. Chapter 6-Week 6 Feature Engineering and Model Evaluation/44 Day 2 Data Scaling and Normalization.mp456.29MB
  44. Chapter 6-Week 6 Feature Engineering and Model Evaluation/45 Day 3 Encoding Categorical Variables.mp457.98MB
  45. Chapter 6-Week 6 Feature Engineering and Model Evaluation/46 Day 4 Feature Selection Techniques.mp456.51MB
  46. Chapter 6-Week 6 Feature Engineering and Model Evaluation/47 Day 5 Creating and Transforming Features.mp462.88MB
  47. Chapter 6-Week 6 Feature Engineering and Model Evaluation/48 Day 6 Model Evaluation Techniques.mp454.69MB
  48. Chapter 6-Week 6 Feature Engineering and Model Evaluation/49 Day 7 Cross-Validation and Hyperparameter Tuning.mp469.27MB
  49. Chapter 7-Week 7 Advanced Machine Learning Algorithms/50 Introduction to Week 7 Advanced Machine Learning Algorithms.mp41.94MB
  50. Chapter 7-Week 7 Advanced Machine Learning Algorithms/51 Day 1 Introduction to Ensemble Learning.mp452.3MB
  51. Chapter 7-Week 7 Advanced Machine Learning Algorithms/52 Day 2 Bagging and Random Forests.mp449.62MB
  52. Chapter 7-Week 7 Advanced Machine Learning Algorithms/53 Day 3 Boosting and Gradient Boosting.mp455.79MB
  53. Chapter 7-Week 7 Advanced Machine Learning Algorithms/54 Day 4 Introduction to XGBoost.mp467.7MB
  54. Chapter 7-Week 7 Advanced Machine Learning Algorithms/55 Day 5 LightGBM and CatBoost.mp470.15MB
  55. Chapter 7-Week 7 Advanced Machine Learning Algorithms/56 Day 6 Handling Imbalanced Data.mp457.72MB
  56. Chapter 7-Week 7 Advanced Machine Learning Algorithms/57 Day 7 Ensemble Learning Project – Comparing Models on a Real Dataset.mp478.11MB
  57. Chapter 8-Week 8 Model Tuning and Optimization/58 Introduction to Week 8 Model Tuning and Optimization.mp42.61MB
  58. Chapter 8-Week 8 Model Tuning and Optimization/59 Day 1 Introduction to Hyperparameter Tuning.mp447.57MB
  59. Chapter 8-Week 8 Model Tuning and Optimization/60 Day 2 Grid Search and Random Search.mp455.72MB
  60. Chapter 8-Week 8 Model Tuning and Optimization/61 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp493.35MB
  61. Chapter 8-Week 8 Model Tuning and Optimization/62 Day 4 Regularization Techniques for Model Optimization.mp445.88MB
  62. Chapter 8-Week 8 Model Tuning and Optimization/63 Day 5 Cross-Validation and Model Evaluation Techniques.mp444.91MB
  63. Chapter 8-Week 8 Model Tuning and Optimization/64 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp467.51MB
  64. Chapter 8-Week 8 Model Tuning and Optimization/65 Day 7 Optimization Project – Building and Tuning a Final Model.mp478.79MB
  65. Chapter 8-Week 8 Model Tuning and Optimization/66 Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp42.28MB
  66. Chapter 9-Week 9 Neural Networks and Deep Learning Fundamentals/67 Day 1 Introduction to Deep Learning and Neural Networks.mp456.03MB
  67. Chapter 9-Week 9 Neural Networks and Deep Learning Fundamentals/68 Day 2 Forward Propagation and Activation Functions.mp451.05MB
  68. Chapter 9-Week 9 Neural Networks and Deep Learning Fundamentals/69 Day 3 Loss Functions and Backpropagation.mp453.63MB
  69. Chapter 9-Week 9 Neural Networks and Deep Learning Fundamentals/70 Day 4 Gradient Descent and Optimization Techniques.mp475.85MB
  70. Chapter 9-Week 9 Neural Networks and Deep Learning Fundamentals/71 Day 5 Building Neural Networks with TensorFlow and Keras.mp467.35MB
  71. Chapter 9-Week 9 Neural Networks and Deep Learning Fundamentals/72 Day 6 Building Neural Networks with PyTorch.mp492.49MB
  72. Chapter 9-Week 9 Neural Networks and Deep Learning Fundamentals/73 Day 7 Neural Network Project – Image Classification on CIFAR-10.mp477.16MB
  73. Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/74 Introduction to Week 10 Convolutional Neural Networks --(CNNs--).mp42.41MB
  74. Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/75 Day 1 Introduction to Convolutional Neural Networks.mp491.5MB
  75. Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/76 Day 2 Convolutional Layers and Filters.mp482.7MB
  76. Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/77 Day 3 Pooling Layers and Dimensionality Reduction.mp483.47MB
  77. Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/78 Day 4 Building CNN Architectures with Keras and TensorFlow.mp461.96MB
  78. Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/79 Day 5 Building CNN Architectures with PyTorch.mp477.81MB
  79. Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/80 Day 6 Regularization and Data Augmentation for CNNs.mp465.12MB
  80. Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/81 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp495.97MB
  81. Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/82 Introduction to Week 11 Recurrent Neural Networks --(RNNs--) and Sequence Modeling.mp42.59MB
  82. Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/83 Day 1 Introduction to Sequence Modeling and RNNs.mp4116.27MB
  83. Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/84 Day 2 Understanding RNN Architecture and Backpropagation Through Time --(BPTT--).mp475.04MB
  84. Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/85 Day 3 Long Short-Term Memory --(LSTM--) Networks.mp452.51MB
  85. Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/86 Day 4 Gated Recurrent Units --(GRUs--).mp424.55MB
  86. Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/87 Day 5 Text Preprocessing and Word Embeddings for RNNs.mp483.38MB
  87. Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/1 Introduction to Week 1 Python Programming Basics.mp41.8MB
  88. Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/89 Day 7 RNN Project – Text Generation or Sentiment Analysis.mp462.69MB
  89. Chapter 12-Week 12 Transformers and Attention Mechanisms/90 Introduction to Week 12 Transformers and Attention Mechanisms.mp42.39MB
  90. Chapter 12-Week 12 Transformers and Attention Mechanisms/91 Day 1 Introduction to Attention Mechanisms.mp452.96MB
  91. Chapter 12-Week 12 Transformers and Attention Mechanisms/92 Day 2 Introduction to Transformers Architecture.mp463.57MB
  92. Chapter 12-Week 12 Transformers and Attention Mechanisms/93 Day 3 Self-Attention and Multi-Head Attention in Transformers.mp473.29MB
  93. Chapter 12-Week 12 Transformers and Attention Mechanisms/94 Day 4 Positional Encoding and Feed-Forward Networks.mp470.73MB
  94. Chapter 12-Week 12 Transformers and Attention Mechanisms/95 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.mp468.4MB
  95. Chapter 12-Week 12 Transformers and Attention Mechanisms/96 Day 6 Advanced Transformers – BERT Variants and GPT-3.mp471.75MB
  96. Chapter 12-Week 12 Transformers and Attention Mechanisms/97 Day 7 Transformer Project – Text Summarization or Translation.mp463.95MB
  97. Chapter 13-Week 13 Transfer Learning and Fine Tuning/98 Introduction to Week 13 Transfer Learning and Fine-Tuning.mp42.18MB
  98. Chapter 13-Week 13 Transfer Learning and Fine Tuning/99 Day 1 Introduction to Transfer Learning.mp450.75MB
  99. Chapter 13-Week 13 Transfer Learning and Fine Tuning/100 Day 2 Transfer Learning in Computer Vision.mp492.28MB
  100. Chapter 13-Week 13 Transfer Learning and Fine Tuning/101 Day 3 Fine-Tuning Techniques in Computer Vision.mp475.96MB
  101. Chapter 13-Week 13 Transfer Learning and Fine Tuning/102 Day 4 Transfer Learning in NLP.mp458.67MB
  102. Chapter 13-Week 13 Transfer Learning and Fine Tuning/103 Day 5 Fine-Tuning Techniques in NLP.mp490.37MB
  103. Chapter 13-Week 13 Transfer Learning and Fine Tuning/104 Day 6 Domain Adaptation and Transfer Learning Challenges.mp451.42MB
  104. Chapter 13-Week 13 Transfer Learning and Fine Tuning/105 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.mp463.37MB
  105. Chapter 14-Week 1 Python Basics/106 Learn Python from Scratch - Quick Tutorial.mp4133.48MB
  106. Chapter 14-Week 1 Python Basics/107 Day 1 Welcome Message Generator Print Statements --& Hello World.mp440.23MB
  107. Chapter 14-Week 1 Python Basics/108 Day 2 Personalized Greeting Program Variables --& Data Types.mp444.64MB
  108. Chapter 14-Week 1 Python Basics/109 Day 3 Simple Calculator User Input --& String Formatting.mp443.38MB
  109. Chapter 14-Week 1 Python Basics/110 Day 4 Number Comparison Tool If-Else Statements.mp441.77MB
  110. Chapter 14-Week 1 Python Basics/111 Day 5 Countdown Timer Loops --(For --& While--).mp439.43MB
  111. Chapter 14-Week 1 Python Basics/112 Day 6 Basic Math Quiz Game Functions.mp453.6MB
  112. Chapter 14-Week 1 Python Basics/113 Day 7 Shopping List App Lists.mp461.33MB
  113. Chapter 15-Week 2 Intermediate Python/114 Day 8 Contact Book Dictionaries.mp470.51MB
  114. Chapter 15-Week 2 Intermediate Python/115 Day 9 Ingredient Checker Tuples --& Sets.mp450.36MB
  115. Chapter 15-Week 2 Intermediate Python/116 Day 10 Note-Taking App File Handling.mp457.79MB
  116. Chapter 15-Week 2 Intermediate Python/117 Day 11 Safe Calculator Exception Handling.mp453.02MB
  117. Chapter 15-Week 2 Intermediate Python/118 Day 12 Temperature Converter Functions with Return Values.mp450.62MB
  118. Chapter 15-Week 2 Intermediate Python/119 Day 13 Student Grade Manager List Comprehensions.mp445.7MB
  119. Chapter 15-Week 2 Intermediate Python/120 Day 14 Random Password Generator Modules --& Libraries.mp453.66MB
  120. Chapter 16-Week 3 Working with Data/121 Day 15 Recipe Viewer App Reading Files.mp453.28MB
  121. Chapter 16-Week 3 Working with Data/122 Day 16 Daily Journal Logger Writing Files.mp452.31MB
  122. Chapter 16-Week 3 Working with Data/123 Day 17 Student Report Generator CSV Files.mp452.45MB
  123. Chapter 16-Week 3 Working with Data/124 Day 18 Mini To-Do App JSON Files.mp460.83MB
  124. Chapter 16-Week 3 Working with Data/125 Day 19 Weather App using API APIs --(Basics--).mp462.68MB
  125. Chapter 16-Week 3 Working with Data/126 Day 20 Event Countdown Timer Dates --& Time.mp450.64MB
  126. Chapter 16-Week 3 Working with Data/127 Day 21 Wikipedia Article Scraper Web Scraping.mp475.51MB
  127. Chapter 17-Week 4 Object Oriented Programming/128 Day 22 Bank Account Simulator Classes --& Objects.mp468.06MB
  128. Chapter 17-Week 4 Object Oriented Programming/129 Day 23 Library Management System Constructors --& Methods.mp459.04MB
  129. Chapter 17-Week 4 Object Oriented Programming/130 Day 24 Employee Management System Inheritance.mp479.88MB
  130. Chapter 17-Week 4 Object Oriented Programming/131 Day 25 Animal Sound Simulator Polymorphism.mp449.07MB
  131. Chapter 17-Week 4 Object Oriented Programming/132 Day 26 Secure User Profile App Encapsulation.mp462.31MB
  132. Chapter 17-Week 4 Object Oriented Programming/133 Day 27 Inventory Management System Static --& Class Methods.mp457.49MB
  133. Chapter 17-Week 4 Object Oriented Programming/134 Day 28 Mini ATM Machine Final OOP Project.mp457.83MB
  134. Chapter 18-Week 5 GUI Programming/135 Day 29 Simple GUI App Tkinter Basics.mp466.33MB
  135. Chapter 18-Week 5 GUI Programming/136 Day 30 Click Counter App Buttons --& Events.mp470.9MB
  136. Chapter 18-Week 5 GUI Programming/137 Day 31 BMI Calculator Input Fields.mp470.86MB
  137. Chapter 18-Week 5 GUI Programming/138 Day 32 Drawing Pad App Canvas Widgets.mp473.85MB
  138. Chapter 18-Week 5 GUI Programming/139 Day 33 Simple Login System Message Boxes.mp460.8MB
  139. Chapter 18-Week 5 GUI Programming/140 Day 34 To-Do List GUI Advanced Widgets.mp464.89MB
  140. Chapter 18-Week 5 GUI Programming/141 Day 35 Expense Tracker App GUI Capstone.mp470.85MB
  141. Chapter 19-Week 6 Web Development with Python/142 Day 36 Hello Flask App Flask Basics.mp469.58MB
  142. Chapter 19-Week 6 Web Development with Python/143 Day 37 Personal Blog Website Routes --& Templates.mp499.87MB
  143. Chapter 19-Week 6 Web Development with Python/144 Day 38 Contact Form App Forms --& User Input.mp447.66MB
  144. Chapter 19-Week 6 Web Development with Python/145 Day 39 User Registration App Database Integration.mp465.7MB
  145. Chapter 19-Week 6 Web Development with Python/146 Day 40 Mini Weather API REST APIs.mp462.12MB
  146. Chapter 19-Week 6 Web Development with Python/147 Day 41 Deploy Flask App Deployment.mp465.72MB
  147. Chapter 19-Week 6 Web Development with Python/148 Day 42 Portfolio Website Flask Capstone.mp455.19MB
  148. Chapter 20-Week 7 Data Science Basics/149 Day 43 Matrix Calculator NumPy.mp464.61MB
  149. Chapter 20-Week 7 Data Science Basics/150 Day 44 Data Cleaner Pandas.mp458.91MB
  150. Chapter 20-Week 7 Data Science Basics/151 Day 45 Graph Plotter Matplotlib.mp462.52MB
  151. Chapter 20-Week 7 Data Science Basics/152 Day 46 Sales Report Analyzer Data Analysis.mp483.18MB
  152. Chapter 20-Week 7 Data Science Basics/153 Day 47 Temperature Plotter Plotting Trends.mp462.06MB
  153. Chapter 20-Week 7 Data Science Basics/154 Day 48 Stock Price Tracker Data Scraping.mp460.2MB
  154. Chapter 20-Week 7 Data Science Basics/155 Day 49 COVID-19 Dashboard Capstone Project.mp466.01MB
  155. Chapter 21-Days 50 60 Intermediate Projects/156 Day 50 Weather Dashboard App.mp499.82MB
  156. Chapter 21-Days 50 60 Intermediate Projects/157 Day 51 Expense Tracker.mp464.14MB
  157. Chapter 21-Days 50 60 Intermediate Projects/158 Day 52 File Organizer Tool.mp459.48MB
  158. Chapter 21-Days 50 60 Intermediate Projects/159 Day 53 Tic-Tac-Toe Game.mp486.96MB
  159. Chapter 21-Days 50 60 Intermediate Projects/160 Day 54 Mini Chatbot.mp435.51MB
  160. Chapter 21-Days 50 60 Intermediate Projects/161 Day 55 Music Playlist Organizer.mp470.47MB
  161. Chapter 21-Days 50 60 Intermediate Projects/162 Day 56 Personal Budget Planner.mp449.56MB
  162. Chapter 21-Days 50 60 Intermediate Projects/163 Day 57 ASCII Art Generator.mp453.2MB
  163. Chapter 21-Days 50 60 Intermediate Projects/164 Day 58 Pomodoro Timer.mp475.74MB
  164. Chapter 21-Days 50 60 Intermediate Projects/165 Day 59 Markdown to HTML Converter.mp459.54MB
  165. Chapter 21-Days 50 60 Intermediate Projects/166 Day 60 Personal Diary App.mp464.18MB
  166. Chapter 22-Days 61 70 Advanced Intermediate Projects/167 Day 61 Social Media Scraper.mp445.73MB
  167. Chapter 22-Days 61 70 Advanced Intermediate Projects/168 Day 62 Automated Backup Tool.mp446.98MB
  168. Chapter 22-Days 61 70 Advanced Intermediate Projects/169 Day 63 Movie Recommendation System.mp455.9MB
  169. Chapter 22-Days 61 70 Advanced Intermediate Projects/170 Day 64 PDF Merger Tool.mp437.95MB
  170. Chapter 22-Days 61 70 Advanced Intermediate Projects/171 Day 65 Portfolio Website Backend.mp473.49MB
  171. Chapter 22-Days 61 70 Advanced Intermediate Projects/172 Day 66 Flashcards Learning App.mp433.41MB
  172. Chapter 22-Days 61 70 Advanced Intermediate Projects/173 Day 67 Stock Market Dashboard.mp455.09MB
  173. Chapter 22-Days 61 70 Advanced Intermediate Projects/174 Day 68 Task Scheduler.mp451.47MB
  174. Chapter 22-Days 61 70 Advanced Intermediate Projects/175 Day 69 Currency Converter.mp439.95MB
  175. Chapter 22-Days 61 70 Advanced Intermediate Projects/176 Day 70 Data Visualizer App.mp462.5MB
  176. Chapter 23-Days 71 80 AI and Machine Learning Projects/177 Day 71 Spam Email Detector.mp479.74MB
  177. Chapter 23-Days 71 80 AI and Machine Learning Projects/178 Day 72 Text Sentiment Analyzer.mp441.12MB
  178. Chapter 23-Days 71 80 AI and Machine Learning Projects/179 Day 73 Handwriting Digit Recognition.mp487.76MB
  179. Chapter 23-Days 71 80 AI and Machine Learning Projects/180 Day 74 Voice Assistant.mp460.81MB
  180. Chapter 23-Days 71 80 AI and Machine Learning Projects/181 Day 75 Face Detection App.mp465MB
  181. Chapter 23-Days 71 80 AI and Machine Learning Projects/182 Day 76 Simple Recommendation System.mp447.41MB
  182. Chapter 23-Days 71 80 AI and Machine Learning Projects/183 Day 77 AI Chatbot with NLP.mp444.25MB
  183. Chapter 23-Days 71 80 AI and Machine Learning Projects/184 Day 78 Object Detection App.mp437.14MB
  184. Chapter 23-Days 71 80 AI and Machine Learning Projects/185 Day 79 Language Translator Tool.mp437.21MB
  185. Chapter 23-Days 71 80 AI and Machine Learning Projects/186 Day 80 Fake News Detector.mp447.75MB
  186. Chapter 24-Machine Learning Algorithms and Implementation in Python/187 Introduction to Machine Learning Algorithms and Implementation in Python.mp49.03MB
  187. Chapter 24-Machine Learning Algorithms and Implementation in Python/188 1 Supervised Learning Algorithms Linear Regression Implementation.mp420.92MB
  188. Chapter 24-Machine Learning Algorithms and Implementation in Python/189 2 Supervised Learning Algorithms Ridge and Lasso Regression Implementation.mp48.02MB
  189. Chapter 24-Machine Learning Algorithms and Implementation in Python/190 3 Supervised Learning Algorithms Polynomial Regression Implementation.mp424.18MB
  190. Chapter 24-Machine Learning Algorithms and Implementation in Python/191 4 Supervised Learning Algorithms Logistic Regression Implementation.mp419.15MB
  191. Chapter 24-Machine Learning Algorithms and Implementation in Python/192 5 Supervised Learning Algorithms K-Nearest Neighbors --(KNN--) Implementation.mp419.23MB
  192. Chapter 24-Machine Learning Algorithms and Implementation in Python/193 6 Supervised Learning Algorithms Support Vector Machines --(SVM--) Implementation.mp419.79MB
  193. Chapter 24-Machine Learning Algorithms and Implementation in Python/194 7 Supervised Learning Algorithms Decision Trees Implementation.mp420.39MB
  194. Chapter 24-Machine Learning Algorithms and Implementation in Python/195 8 Supervised Learning Algorithms Random Forests Implementation.mp419.52MB
  195. Chapter 24-Machine Learning Algorithms and Implementation in Python/196 9 Supervised Learning Algorithms Gradient Boosting Implementation.mp420.31MB
  196. Chapter 24-Machine Learning Algorithms and Implementation in Python/197 10 Supervised Learning Algorithms Naive Bayes Implementation.mp419.17MB
  197. Chapter 24-Machine Learning Algorithms and Implementation in Python/198 11 Unsupervised Learning Algorithms K-Means Clustering Implementation.mp413.64MB
  198. Chapter 24-Machine Learning Algorithms and Implementation in Python/199 12 Unsupervised Learning Algorithms Hierarchical Clustering Implementation.mp415.22MB
  199. Chapter 24-Machine Learning Algorithms and Implementation in Python/200 13 Unsupervised Learning Algorithms DBSCAN.mp415.42MB
  200. Chapter 24-Machine Learning Algorithms and Implementation in Python/201 14 Unsupervised Learning Algorithms Gaussian Mixture Models--(GMM--).mp415.23MB
  201. Chapter 24-Machine Learning Algorithms and Implementation in Python/202 15 Unsupervised Learning Algorithms Principal Component Analysis --(PCA--).mp414.41MB
  202. Chapter 24-Machine Learning Algorithms and Implementation in Python/203 16 Unsupervised Learning Algo t-Distributed Stochastic Neighbor Embedding.mp416.1MB
  203. Chapter 24-Machine Learning Algorithms and Implementation in Python/204 17Unsupervised Learning Algorithms Autoencoders Implementation.mp427.29MB
  204. Chapter 24-Machine Learning Algorithms and Implementation in Python/205 18 Self-Training Implementation.mp422.21MB
  205. Chapter 24-Machine Learning Algorithms and Implementation in Python/206 19 Q-Learning Implementation.mp428.31MB
  206. Chapter 24-Machine Learning Algorithms and Implementation in Python/207 20 Deep Q-Networks --(DQN--) Implementation.mp446.82MB
  207. Chapter 24-Machine Learning Algorithms and Implementation in Python/208 21 Policy Gradient Methods Implementation.mp435.24MB
  208. Chapter 24-Machine Learning Algorithms and Implementation in Python/209 22 One-Class SVM Implementation.mp415.14MB
  209. Chapter 24-Machine Learning Algorithms and Implementation in Python/210 23 Isolation Forest Implementation.mp416.04MB
  210. Chapter 24-Machine Learning Algorithms and Implementation in Python/211 24 Convolutional Neural Networks --(CNNs--) Implementation.mp428.13MB
  211. Chapter 24-Machine Learning Algorithms and Implementation in Python/212 25 Recurrent Neural Networks --(RNNs--) Implementation.mp424.97MB
  212. Chapter 24-Machine Learning Algorithms and Implementation in Python/213 26 Long Short-Term Memory --(LSTM--) Implementation.mp424.03MB
  213. Chapter 24-Machine Learning Algorithms and Implementation in Python/214 27 Transformers Implementation.mp437.59MB
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概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
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