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[FreeCourseSite.com] Udemy - Data Science Mastery Complete Data Science Bootcamp 2025

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FreeCourseSite com Udemy - Data Science Mastery Complete Data Science Bootcamp 2025

文件列表
  1. 1 - Data Science Modules Introduction and Brief Overview/1 - What Will We Cover.mp46.99MB
  2. 1 - Data Science Modules Introduction and Brief Overview/10 - Module 9 Big Data Technologies Managing and Analyzing Massive Datasets.mp422.24MB
  3. 1 - Data Science Modules Introduction and Brief Overview/11 - Module 10 Data Ethics and Governance Responsible AI and Data Practices.mp426.89MB
  4. 1 - Data Science Modules Introduction and Brief Overview/12 - Module 11 Business Understanding and Domain Expertise.mp425.82MB
  5. 1 - Data Science Modules Introduction and Brief Overview/13 - Mod 12 Communication and Storytelling Turning Data into Impactful Narratives.mp427.28MB
  6. 1 - Data Science Modules Introduction and Brief Overview/14 - Whats Next Bootcamp Deep Dive.mp42.45MB
  7. 1 - Data Science Modules Introduction and Brief Overview/2 - Module 1 Data Collection The Foundation of Data Science.mp424.12MB
  8. 1 - Data Science Modules Introduction and Brief Overview/3 - Mod 2 Data Cleaning and Preprocessing Turning Raw Data into Usable Insights.mp418.23MB
  9. 1 - Data Science Modules Introduction and Brief Overview/4 - Module 3 Data Exploration and Analysis EDA.mp418.01MB
  10. 1 - Data Science Modules Introduction and Brief Overview/5 - Module 4 Feature Engineering Transforming Data into Insights.mp418.32MB
  11. 1 - Data Science Modules Introduction and Brief Overview/6 - Module 5 Data Visualization Communicating Insights Effectively.mp418.57MB
  12. 1 - Data Science Modules Introduction and Brief Overview/7 - Module 6 Machine Learning and Modeling Building Intelligent Systems.mp424.36MB
  13. 1 - Data Science Modules Introduction and Brief Overview/8 - Module 7 Model Evaluation and Validation Ensuring Reliable Predictions.mp423.46MB
  14. 1 - Data Science Modules Introduction and Brief Overview/9 - Module 8 Model Deployment Bringing Machine Learning Models to Life.mp418.89MB
  15. 10 - Week 9 Neural Networks and Deep Learning Fundamentals/79 - Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp42.1MB
  16. 10 - Week 9 Neural Networks and Deep Learning Fundamentals/80 - Day 1 Introduction to Deep Learning and Neural Networks.mp4168.77MB
  17. 10 - Week 9 Neural Networks and Deep Learning Fundamentals/81 - Day 2 Forward Propagation and Activation Functions.mp4172.29MB
  18. 10 - Week 9 Neural Networks and Deep Learning Fundamentals/82 - Day 3 Loss Functions and Backpropagation.mp489.12MB
  19. 10 - Week 9 Neural Networks and Deep Learning Fundamentals/83 - Day 4 Gradient Descent and Optimization Techniques.mp4289.45MB
  20. 10 - Week 9 Neural Networks and Deep Learning Fundamentals/84 - Day 5 Building Neural Networks with TensorFlow and Keras.mp4232.77MB
  21. 10 - Week 9 Neural Networks and Deep Learning Fundamentals/85 - Day 6 Building Neural Networks with PyTorch.mp4390.5MB
  22. 10 - Week 9 Neural Networks and Deep Learning Fundamentals/86 - Day 7 Neural Network Project Image Classification on CIFAR10.mp4124.71MB
  23. 11 - Week 10 Convolutional Neural Networks CNNs/87 - Introduction to Week 10 Convolutional Neural Networks CNNs.mp42.15MB
  24. 11 - Week 10 Convolutional Neural Networks CNNs/88 - Day 1 Introduction to Convolutional Neural Networks.mp4329.26MB
  25. 11 - Week 10 Convolutional Neural Networks CNNs/89 - Day 2 Convolutional Layers and Filters.mp494.82MB
  26. 11 - Week 10 Convolutional Neural Networks CNNs/90 - Day 3 Pooling Layers and Dimensionality Reduction.mp4157.43MB
  27. 11 - Week 10 Convolutional Neural Networks CNNs/91 - Day 4 Building CNN Architectures with Keras and TensorFlow.mp4218.03MB
  28. 11 - Week 10 Convolutional Neural Networks CNNs/92 - Day 5 Building CNN Architectures with PyTorch.mp4231.91MB
  29. 11 - Week 10 Convolutional Neural Networks CNNs/93 - Day 6 Regularization and Data Augmentation for CNNs.mp4201.33MB
  30. 11 - Week 10 Convolutional Neural Networks CNNs/94 - Day 7 CNN Project Image Classification on Fashion MNIST or CIFAR10.mp4410.25MB
  31. 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/100 - Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4230.16MB
  32. 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/101 - Day 6 SequencetoSequence Models and Applications.mp4646.92MB
  33. 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/102 - Day 7 RNN Project Text Generation or Sentiment Analysis.mp4173.67MB
  34. 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/95 - Introduction to Week 11 Recurrent Neural Networks RNNs and Sequence Modeling.mp42.27MB
  35. 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/96 - Day 1 Introduction to Sequence Modeling and RNNs.mp4377.26MB
  36. 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/97 - Day 2 Understanding RNN Architecture and Backpropagation Through Time BPTT.mp4298.77MB
  37. 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/98 - Day 3 Long ShortTerm Memory LSTM Networks.mp4124.89MB
  38. 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/99 - Day 4 Gated Recurrent Units GRUs.mp457.68MB
  39. 13 - Week 12 Transformers and Attention Mechanisms/103 - Introduction to Week 12 Transformers and Attention Mechanisms.mp42.18MB
  40. 13 - Week 12 Transformers and Attention Mechanisms/104 - Day 1 Introduction to Attention Mechanisms.mp483.31MB
  41. 13 - Week 12 Transformers and Attention Mechanisms/105 - Day 2 Introduction to Transformers Architecture.mp4213.71MB
  42. 13 - Week 12 Transformers and Attention Mechanisms/106 - Day 3 SelfAttention and MultiHead Attention in Transformers.mp4270.92MB
  43. 13 - Week 12 Transformers and Attention Mechanisms/107 - Day 4 Positional Encoding and FeedForward Networks.mp4186.76MB
  44. 13 - Week 12 Transformers and Attention Mechanisms/108 - Day 5 HandsOn with PreTrained Transformers BERT and GPT.mp4263.55MB
  45. 13 - Week 12 Transformers and Attention Mechanisms/109 - Day 6 Advanced Transformers BERT Variants and GPT3.mp4269.24MB
  46. 13 - Week 12 Transformers and Attention Mechanisms/110 - Day 7 Transformer Project Text Summarization or Translation.mp4246.52MB
  47. 14 - Week 13 Transfer Learning and FineTuning/111 - Introduction to Week 13 Transfer Learning and FineTuning.mp41.78MB
  48. 14 - Week 13 Transfer Learning and FineTuning/112 - Day 1 Introduction to Transfer Learning.mp4186.4MB
  49. 14 - Week 13 Transfer Learning and FineTuning/113 - Day 2 Transfer Learning in Computer Vision.mp4265.74MB
  50. 14 - Week 13 Transfer Learning and FineTuning/114 - Day 3 FineTuning Techniques in Computer Vision.mp4216.84MB
  51. 14 - Week 13 Transfer Learning and FineTuning/115 - Day 4 Transfer Learning in NLP.mp4229.54MB
  52. 14 - Week 13 Transfer Learning and FineTuning/116 - Day 5 FineTuning Techniques in NLP.mp4167.61MB
  53. 14 - Week 13 Transfer Learning and FineTuning/117 - Day 6 Domain Adaptation and Transfer Learning Challenges.mp4144.27MB
  54. 14 - Week 13 Transfer Learning and FineTuning/118 - Day 7 Transfer Learning Project FineTuning for a Custom Task.mp4245.59MB
  55. 15 - Machine Learning Algorithms and Implementations/119 - Introduction to Machine Learning Algorithms.mp46.98MB
  56. 15 - Machine Learning Algorithms and Implementations/120 - 1 Linear Regression Implementation in Python.mp426.92MB
  57. 15 - Machine Learning Algorithms and Implementations/121 - 2 Ridge and Lasso Regression Implementation in Python.mp473.3MB
  58. 15 - Machine Learning Algorithms and Implementations/122 - 3 Polynomial Regression Implementation in Python.mp452.84MB
  59. 15 - Machine Learning Algorithms and Implementations/123 - 4 Logistic Regression Implementation in Python.mp450.24MB
  60. 15 - Machine Learning Algorithms and Implementations/124 - 5 KNearest Neighbors KNN Implementation in Python.mp455.83MB
  61. 15 - Machine Learning Algorithms and Implementations/125 - 6 Support Vector Machines SVM Implementation in Python.mp429.41MB
  62. 15 - Machine Learning Algorithms and Implementations/126 - 7 Decision Trees Implementation in Python.mp446.61MB
  63. 15 - Machine Learning Algorithms and Implementations/127 - 8 Random Forests Implementation in Python.mp457.54MB
  64. 15 - Machine Learning Algorithms and Implementations/128 - 9 Gradient Boosting Implementation in Python.mp454.47MB
  65. 15 - Machine Learning Algorithms and Implementations/129 - 10 Naive Bayes Implementation in Python.mp421.26MB
  66. 15 - Machine Learning Algorithms and Implementations/130 - 11 KMeans Clustering Implementation in Python.mp413.87MB
  67. 15 - Machine Learning Algorithms and Implementations/131 - 12 Hierarchical Clustering Implementation in Python.mp434.37MB
  68. 15 - Machine Learning Algorithms and Implementations/132 - 13 DBSCAN DensityBased Spatial Clustering of Applications w Noise.mp415.94MB
  69. 15 - Machine Learning Algorithms and Implementations/133 - 14 Gaussian Mixture ModelsGMM Implementation in Python.mp417.03MB
  70. 15 - Machine Learning Algorithms and Implementations/134 - 15 Principal Component Analysis PCA Implementation in Python.mp416.76MB
  71. 15 - Machine Learning Algorithms and Implementations/135 - 16 tDistributed Stochastic Neighbor Embedding tSNE Implementation in Python.mp437.04MB
  72. 15 - Machine Learning Algorithms and Implementations/136 - 17 Autoencoders Implementation in Python.mp475.36MB
  73. 15 - Machine Learning Algorithms and Implementations/137 - 18 SelfTraining Implementation in Python.mp440.94MB
  74. 15 - Machine Learning Algorithms and Implementations/138 - 19 QLearning Implementation in Python.mp451.2MB
  75. 15 - Machine Learning Algorithms and Implementations/139 - 20 Deep QNetworks DQN Implementation in Python.mp4124.56MB
  76. 15 - Machine Learning Algorithms and Implementations/140 - 21 Policy Gradient Methods Implementation in Python.mp4102.64MB
  77. 15 - Machine Learning Algorithms and Implementations/141 - 22 OneClass SVM Implementation in Python.mp417.73MB
  78. 15 - Machine Learning Algorithms and Implementations/142 - 23 Isolation Forest Implementation in Python.mp419.58MB
  79. 15 - Machine Learning Algorithms and Implementations/143 - 24 Convolutional Neural Networks CNNs Implementation in Python.mp453.53MB
  80. 15 - Machine Learning Algorithms and Implementations/144 - 25 Recurrent Neural Networks RNNs Implementation in Python.mp441.15MB
  81. 15 - Machine Learning Algorithms and Implementations/145 - 26 Long ShortTerm Memory LSTM Implementation in Python.mp445.3MB
  82. 15 - Machine Learning Algorithms and Implementations/146 - 27 Transformers Implementation in Python.mp4123.44MB
  83. 16 - Complete TensorFlow Tutorials/147 - 1 What is Machine Learning in the context of TensorFlow.mp424.62MB
  84. 16 - Complete TensorFlow Tutorials/148 - 2 Introduction to TensorFlow.mp425.43MB
  85. 16 - Complete TensorFlow Tutorials/149 - 3 TensorFlow vs Other Machine Learning frameworks.mp437.79MB
  86. 16 - Complete TensorFlow Tutorials/150 - 4 Installing TensorFlow.mp433.7MB
  87. 16 - Complete TensorFlow Tutorials/151 - 5 Setting up your Development Environment.mp421.81MB
  88. 16 - Complete TensorFlow Tutorials/152 - 6 Verifying the Installation.mp428.52MB
  89. 16 - Complete TensorFlow Tutorials/153 - 7 Introduction to Tensors.mp44.67MB
  90. 16 - Complete TensorFlow Tutorials/154 - 8 Tensor Operations.mp48.46MB
  91. 16 - Complete TensorFlow Tutorials/155 - 9 Constants Variables and Placeholders.mp49.28MB
  92. 16 - Complete TensorFlow Tutorials/156 - 10 TensorFlow Computational Graph.mp49.74MB
  93. 16 - Complete TensorFlow Tutorials/157 - 11 Creating and Running a TensorFlow Session.mp45.9MB
  94. 16 - Complete TensorFlow Tutorials/158 - 12 Managing Graphs and Sessions.mp49.93MB
  95. 16 - Complete TensorFlow Tutorials/159 - 13 Building a Simple Feedforward Neural Network.mp421.94MB
  96. 16 - Complete TensorFlow Tutorials/160 - 14 Activation Functions.mp49.4MB
  97. 16 - Complete TensorFlow Tutorials/161 - 15 Loss Functions and Optimizers.mp414.64MB
  98. 16 - Complete TensorFlow Tutorials/162 - 16 Introduction to Keras API.mp412.26MB
  99. 16 - Complete TensorFlow Tutorials/163 - 17 Building Complex Models with Keras.mp410.99MB
  100. 16 - Complete TensorFlow Tutorials/164 - 18 Training and Evaluating Models.mp412.38MB
  101. 16 - Complete TensorFlow Tutorials/165 - 19 Introduction to CNNs.mp49.98MB
  102. 16 - Complete TensorFlow Tutorials/166 - 20 Building and Training CNNs with TensorFlow.mp415.88MB
  103. 16 - Complete TensorFlow Tutorials/167 - 21 Transfer Learning with Pretrained CNNs.mp411.16MB
  104. 16 - Complete TensorFlow Tutorials/168 - 22 Introduction to RNNs.mp410.71MB
  105. 16 - Complete TensorFlow Tutorials/169 - 23 Building and Training RNNs with TensorFlow.mp47.86MB
  106. 16 - Complete TensorFlow Tutorials/170 - 24 Applications of RNNs Language Modeling Time Series Prediction.mp47.3MB
  107. 16 - Complete TensorFlow Tutorials/171 - 25 Saving and Loading Models.mp49.73MB
  108. 16 - Complete TensorFlow Tutorials/172 - 26 TensorFlow Serving for Model Deployment.mp410.59MB
  109. 16 - Complete TensorFlow Tutorials/173 - 27 TensorFlow Lite for Mobile and Embedded Devices.mp412.41MB
  110. 16 - Complete TensorFlow Tutorials/174 - 28 Introduction to Distributed Computing with TensorFlow.mp412.9MB
  111. 16 - Complete TensorFlow Tutorials/175 - 29 TensorFlows Distributed Execution Framework.mp413.75MB
  112. 16 - Complete TensorFlow Tutorials/176 - 30 Scaling TensorFlow with TensorFlow Serving and Kubernetes.mp413.56MB
  113. 16 - Complete TensorFlow Tutorials/177 - 31 Introduction to TFX.mp411.65MB
  114. 16 - Complete TensorFlow Tutorials/178 - 32 Building EndtoEnd ML Pipelines with TFX.mp49.1MB
  115. 16 - Complete TensorFlow Tutorials/179 - 33 Model Validation Transform and Serving with TFX.mp413.47MB
  116. 16 - Complete TensorFlow Tutorials/180 - 34 Image Classification.mp413.75MB
  117. 16 - Complete TensorFlow Tutorials/181 - 35 Natural Language Processing.mp413.62MB
  118. 16 - Complete TensorFlow Tutorials/182 - 36 Recommender Systems.mp415.59MB
  119. 16 - Complete TensorFlow Tutorials/183 - 37 Object Detection.mp412.54MB
  120. 16 - Complete TensorFlow Tutorials/184 - 38 Building a Sentiment Analysis Model.mp423.89MB
  121. 16 - Complete TensorFlow Tutorials/185 - 39 Creating an Image Recognition System.mp415.3MB
  122. 16 - Complete TensorFlow Tutorials/186 - 40 Developing a Time Series Prediction Model.mp410.98MB
  123. 16 - Complete TensorFlow Tutorials/187 - 41 Implementing a Chatbot.mp418.88MB
  124. 16 - Complete TensorFlow Tutorials/188 - 42 Generative Adversarial Networks GANs.mp49.89MB
  125. 16 - Complete TensorFlow Tutorials/189 - 43 Reinforcement Learning with TensorFlow.mp410.21MB
  126. 16 - Complete TensorFlow Tutorials/190 - 44 Quantum Machine Learning with TensorFlow Quantum.mp411.92MB
  127. 16 - Complete TensorFlow Tutorials/191 - 45 TensorFlow Documentation and Tutorials.mp48.85MB
  128. 16 - Complete TensorFlow Tutorials/192 - 46 Online Courses and Books.mp46.85MB
  129. 16 - Complete TensorFlow Tutorials/193 - 47 TensorFlow Community and Forums.mp410.16MB
  130. 16 - Complete TensorFlow Tutorials/194 - 48 Summary of Key Concepts.mp49.72MB
  131. 16 - Complete TensorFlow Tutorials/195 - 49 Next Steps in Your TensorFlow Journey.mp48.31MB
  132. 17 - Complete PyTorch Tutorials/196 - 0 What will we cover.mp47.31MB
  133. 17 - Complete PyTorch Tutorials/197 - 1 Introduction to PyTorch.mp4102.56MB
  134. 17 - Complete PyTorch Tutorials/198 - 2 Getting Started with PyTorch.mp463.98MB
  135. 17 - Complete PyTorch Tutorials/199 - 3 Working with Tensors.mp4110.08MB
  136. 17 - Complete PyTorch Tutorials/200 - 4 Autograd and Dynamic Computation Graphs.mp456.75MB
  137. 17 - Complete PyTorch Tutorials/201 - 5 Building Simple Neural Networks.mp4110.25MB
  138. 17 - Complete PyTorch Tutorials/202 - 6 Loading and Preprocessing Data.mp476.5MB
  139. 17 - Complete PyTorch Tutorials/203 - 7 Model Evaluation and Validation.mp4101.95MB
  140. 17 - Complete PyTorch Tutorials/204 - 8 Advanced Neural Network Architectures.mp4138.13MB
  141. 17 - Complete PyTorch Tutorials/205 - 9 Transfer Learning and FineTuning.mp439.93MB
  142. 17 - Complete PyTorch Tutorials/206 - 10 Handling Complex Data.mp441.41MB
  143. 17 - Complete PyTorch Tutorials/207 - 11 Model Deployment and Production.mp442.37MB
  144. 17 - Complete PyTorch Tutorials/208 - 12 Debugging and Troubleshooting.mp4112.72MB
  145. 17 - Complete PyTorch Tutorials/209 - 13 Distributed Training and Performance Optimization.mp491.01MB
  146. 17 - Complete PyTorch Tutorials/210 - 14 Custom Layers and Loss Functions.mp445.91MB
  147. 17 - Complete PyTorch Tutorials/211 - 15 Researchoriented Techniques.mp493.42MB
  148. 17 - Complete PyTorch Tutorials/212 - 16 Integration with Other Libraries.mp497.91MB
  149. 17 - Complete PyTorch Tutorials/213 - 17 Contributing to PyTorch and Community Engagement.mp448.04MB
  150. 18 - Handson Projects on Data Science in Python/214 - 1 Basic Calculator using Python.mp497.16MB
  151. 18 - Handson Projects on Data Science in Python/215 - 2 Image Classifier using Keras and TensorFlow.mp4228.06MB
  152. 18 - Handson Projects on Data Science in Python/216 - 3 Simple Chatbot using predefined responses.mp462.16MB
  153. 18 - Handson Projects on Data Science in Python/217 - 4 Spam Email Detector using Scikitlearn.mp452.48MB
  154. 18 - Handson Projects on Data Science in Python/218 - 5 Handwritten Digit Recognition with MNIST dataset.mp4123.47MB
  155. 18 - Handson Projects on Data Science in Python/219 - 6 Sentiment Analysis on text data using NLTK.mp499.71MB
  156. 18 - Handson Projects on Data Science in Python/220 - 7 Movie Recommendation System using cosine similarity.mp450.03MB
  157. 18 - Handson Projects on Data Science in Python/221 - 8 Predict House Prices with Linear Regression.mp473.34MB
  158. 18 - Handson Projects on Data Science in Python/222 - 9 Weather Forecasting using historical data.mp455.59MB
  159. 18 - Handson Projects on Data Science in Python/223 - 10 Basic Neural Network from scratch.mp4203.38MB
  160. 18 - Handson Projects on Data Science in Python/224 - 11 Stock Price Prediction using historical data w simple Linear Regression.mp4103.3MB
  161. 18 - Handson Projects on Data Science in Python/225 - 12 Predict Diabetes using logistic regression.mp4133.44MB
  162. 18 - Handson Projects on Data Science in Python/226 - 13 Dog vs Cat Classifier with CNN.mp4179.08MB
  163. 18 - Handson Projects on Data Science in Python/227 - 14 TicTacToe AI using Minimax Algorithm.mp441.71MB
  164. 18 - Handson Projects on Data Science in Python/228 - 15 Credit Card Fraud Detection using Scikitlearn.mp476.96MB
  165. 18 - Handson Projects on Data Science in Python/229 - 16 Iris Flower Classification using decision trees.mp454.3MB
  166. 18 - Handson Projects on Data Science in Python/230 - 17 Simple Personal Assistant using Python speech libraries.mp4112.86MB
  167. 18 - Handson Projects on Data Science in Python/231 - 18 Text Summarizer using Gensim.mp478.91MB
  168. 18 - Handson Projects on Data Science in Python/232 - 19 Fake Product Review Detection using NLP techniques.mp468.89MB
  169. 18 - Handson Projects on Data Science in Python/233 - 20 Detect Emotion in Text using Natural Language Toolkit NLTK.mp450.15MB
  170. 18 - Handson Projects on Data Science in Python/234 - 21 Book Recommendation System using collaborative filtering.mp477.66MB
  171. 18 - Handson Projects on Data Science in Python/235 - 22 Predict Car Prices using Random Forest.mp435.92MB
  172. 18 - Handson Projects on Data Science in Python/236 - 23 Identify Fake News using Naive Bayes.mp485.65MB
  173. 18 - Handson Projects on Data Science in Python/237 - 24 Create a Resume Scanner using keyword extraction.mp475.15MB
  174. 18 - Handson Projects on Data Science in Python/238 - 25 Customer Churn Prediction using classification algorithms.mp479MB
  175. 18 - Handson Projects on Data Science in Python/239 - 26 Named Entity Recognition NER using spaCy.mp478.56MB
  176. 18 - Handson Projects on Data Science in Python/240 - 27 Predict Employee Attrition using XGBoost.mp480.28MB
  177. 18 - Handson Projects on Data Science in Python/241 - 28 Disease Prediction eg Heart Disease using ML algorithms.mp497.52MB
  178. 18 - Handson Projects on Data Science in Python/242 - 29 Movie Rating Prediction using Collaborative Filtering.mp470.68MB
  179. 18 - Handson Projects on Data Science in Python/243 - 30 Automatic Essay Grading using BERT.mp4187.32MB
  180. 2 - Week 1 Python Programming Basics/15 - Introduction to Week 1 Python Programming Basics.mp41.4MB
  181. 2 - Week 1 Python Programming Basics/16 - Day 1 Introduction to Python and Development Setup.mp4193.33MB
  182. 2 - Week 1 Python Programming Basics/17 - Day 2 Control Flow in Python.mp4146.32MB
  183. 2 - Week 1 Python Programming Basics/18 - Day 3 Functions and Modules.mp491.5MB
  184. 2 - Week 1 Python Programming Basics/19 - Day 4 Data Structures Lists Tuples Dictionaries Sets.mp4131.44MB
  185. 2 - Week 1 Python Programming Basics/20 - Day 5 Working with Strings.mp4171.43MB
  186. 2 - Week 1 Python Programming Basics/21 - Day 6 File Handling.mp4113.44MB
  187. 2 - Week 1 Python Programming Basics/22 - Day 7 Pythonic Code and Project Work.mp4481.89MB
  188. 3 - Week 2 Data Science Essentials/23 - Introduction to Week 2 Data Science Essentials.mp41.74MB
  189. 3 - Week 2 Data Science Essentials/24 - Day 1 Introduction to NumPy for Numerical Computing.mp4225.29MB
  190. 3 - Week 2 Data Science Essentials/25 - Day 2 Advanced NumPy Operations.mp495.68MB
  191. 3 - Week 2 Data Science Essentials/26 - Day 3 Introduction to Pandas for Data Manipulation.mp4238.61MB
  192. 3 - Week 2 Data Science Essentials/27 - Day 4 Data Cleaning and Preparation with Pandas.mp483.01MB
  193. 3 - Week 2 Data Science Essentials/28 - Day 5 Data Aggregation and Grouping in Pandas.mp476.75MB
  194. 3 - Week 2 Data Science Essentials/29 - Day 6 Data Visualization with Matplotlib and Seaborn.mp4316.42MB
  195. 3 - Week 2 Data Science Essentials/30 - Day 7 Exploratory Data Analysis EDA Project.mp4261.56MB
  196. 4 - Week 3 Mathematics for Machine Learning/31 - Introduction to Week 3 Mathematics for Machine Learning.mp41.79MB
  197. 4 - Week 3 Mathematics for Machine Learning/32 - Day 1 Linear Algebra Fundamentals.mp491.26MB
  198. 4 - Week 3 Mathematics for Machine Learning/33 - Day 2 Advanced Linear Algebra Concepts.mp499.71MB
  199. 4 - Week 3 Mathematics for Machine Learning/34 - Day 3 Calculus for Machine Learning Derivatives.mp478.65MB
  200. 4 - Week 3 Mathematics for Machine Learning/35 - Day 4 Calculus for Machine Learning Integrals and Optimization.mp467.2MB
  201. 4 - Week 3 Mathematics for Machine Learning/36 - Day 5 Probability Theory and Distributions.mp4282.52MB
  202. 4 - Week 3 Mathematics for Machine Learning/37 - Day 6 Statistics Fundamentals.mp486.82MB
  203. 4 - Week 3 Mathematics for Machine Learning/38 - Day 7 MathDriven Mini Project Linear Regression from Scratch.mp472.08MB
  204. 5 - Week 4 Probability and Statistics for Machine Learning/39 - Introduction to Week 4 Probability and Statistics for Machine Learning.mp41.98MB
  205. 5 - Week 4 Probability and Statistics for Machine Learning/40 - Day 1 Probability Theory and Random Variables.mp491.55MB
  206. 5 - Week 4 Probability and Statistics for Machine Learning/41 - Day 2 Probability Distributions in Machine Learning.mp4127.57MB
  207. 5 - Week 4 Probability and Statistics for Machine Learning/42 - Day 3 Statistical Inference Estimation and Confidence Intervals.mp469.97MB
  208. 5 - Week 4 Probability and Statistics for Machine Learning/43 - Day 4 Hypothesis Testing and PValues.mp445.45MB
  209. 5 - Week 4 Probability and Statistics for Machine Learning/44 - Day 5 Types of Hypothesis Tests.mp498.87MB
  210. 5 - Week 4 Probability and Statistics for Machine Learning/45 - Day 6 Correlation and Regression Analysis.mp492.52MB
  211. 5 - Week 4 Probability and Statistics for Machine Learning/46 - Day 7 Statistical Analysis Project Analyzing RealWorld Data.mp4334.68MB
  212. 6 - Week 5 Introduction to Machine Learning/47 - Introduction to Week 5 Introduction to Machine Learning.mp42.05MB
  213. 6 - Week 5 Introduction to Machine Learning/48 - Day 1 Machine Learning Basics and Terminology.mp4146.89MB
  214. 6 - Week 5 Introduction to Machine Learning/49 - Day 2 Introduction to Supervised Learning and Regression Models.mp462.98MB
  215. 6 - Week 5 Introduction to Machine Learning/50 - Day 3 Advanced Regression Models Polynomial Regression and Regularization.mp4492.86MB
  216. 6 - Week 5 Introduction to Machine Learning/51 - Day 4 Introduction to Classification and Logistic Regression.mp4255.73MB
  217. 6 - Week 5 Introduction to Machine Learning/52 - Day 5 Model Evaluation and CrossValidation.mp4126.36MB
  218. 6 - Week 5 Introduction to Machine Learning/53 - Day 6 kNearest Neighbors kNN Algorithm.mp4101.96MB
  219. 6 - Week 5 Introduction to Machine Learning/54 - Day 7 Supervised Learning Mini Project.mp4164.94MB
  220. 7 - Week 6 Feature Engineering and Model Evaluation/55 - Introduction to Week 6 Feature Engineering and Model Evaluation.mp41.64MB
  221. 7 - Week 6 Feature Engineering and Model Evaluation/56 - Day 1 Introduction to Feature Engineering.mp4162.26MB
  222. 7 - Week 6 Feature Engineering and Model Evaluation/57 - Day 2 Data Scaling and Normalization.mp4181.15MB
  223. 7 - Week 6 Feature Engineering and Model Evaluation/58 - Day 3 Encoding Categorical Variables.mp4146.85MB
  224. 7 - Week 6 Feature Engineering and Model Evaluation/59 - Day 4 Feature Selection Techniques.mp4208.52MB
  225. 7 - Week 6 Feature Engineering and Model Evaluation/60 - Day 5 Creating and Transforming Features.mp4220.09MB
  226. 7 - Week 6 Feature Engineering and Model Evaluation/61 - Day 6 Model Evaluation Techniques.mp485.7MB
  227. 7 - Week 6 Feature Engineering and Model Evaluation/62 - Day 7 CrossValidation and Hyperparameter Tuning.mp4257.59MB
  228. 8 - Week 7 Advanced Machine Learning Algorithms/63 - Introduction to Week 7 Advanced Machine Learning Algorithms.mp41.58MB
  229. 8 - Week 7 Advanced Machine Learning Algorithms/64 - Day 1 Introduction to Ensemble Learning.mp485.23MB
  230. 8 - Week 7 Advanced Machine Learning Algorithms/65 - Day 2 Bagging and Random Forests.mp4170.44MB
  231. 8 - Week 7 Advanced Machine Learning Algorithms/66 - Day 3 Boosting and Gradient Boosting.mp4175.05MB
  232. 8 - Week 7 Advanced Machine Learning Algorithms/67 - Day 4 Introduction to XGBoost.mp4238.22MB
  233. 8 - Week 7 Advanced Machine Learning Algorithms/68 - Day 5 LightGBM and CatBoost.mp4258.71MB
  234. 8 - Week 7 Advanced Machine Learning Algorithms/69 - Day 6 Handling Imbalanced Data.mp4157.36MB
  235. 8 - Week 7 Advanced Machine Learning Algorithms/70 - Day 7 Ensemble Learning Project Comparing Models on a Real Dataset.mp4232.71MB
  236. 9 - Week 8 Model Tuning and Optimization/71 - Introduction to Week 8 Model Tuning and Optimization.mp42.37MB
  237. 9 - Week 8 Model Tuning and Optimization/72 - Day 1 Introduction to Hyperparameter Tuning.mp4152.75MB
  238. 9 - Week 8 Model Tuning and Optimization/73 - Day 2 Grid Search and Random Search.mp4153.61MB
  239. 9 - Week 8 Model Tuning and Optimization/74 - Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4388.51MB
  240. 9 - Week 8 Model Tuning and Optimization/75 - Day 4 Regularization Techniques for Model Optimization.mp4191.98MB
  241. 9 - Week 8 Model Tuning and Optimization/76 - Day 5 CrossValidation and Model Evaluation Techniques.mp4139.61MB
  242. 9 - Week 8 Model Tuning and Optimization/77 - Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4274.59MB
  243. 9 - Week 8 Model Tuning and Optimization/78 - Day 7 Optimization Project Building and Tuning a Final Model.mp4233.98MB
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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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