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[FreeCourseSite.com] Udemy - Complete Data Science,Machine Learning,DL,NLP Bootcamp

FreeCourseSiteUdemyCompleteDataScienceMachineLearningBootcamp

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收录时间：2025-09-12

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文件列表：

  1. 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/011 Simple Linear Regression Practical.mp4867.74 Mb
  2. 46 - Dockers For Beginners/009 9-Dockers-Compose.mp4790.44 Mb
  3. 62 - Transformers/004 Self Attention Layer Working.mp4738.12 Mb
  4. 48 - End To End Machine Learning Project With AWS,Azure Deployment/001 End To End ML Project With Deployment-Github And Code Set Up.mp4671.43 Mb
  5. 48 - End To End Machine Learning Project With AWS,Azure Deployment/003 Discussing Project Problem Statement,EDA And Model Training.mp4645.09 Mb
  6. 48 - End To End Machine Learning Project With AWS,Azure Deployment/002 Implementing Project Structure, Logging And Exception Handling.mp4628.83 Mb
  7. 50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/001 Getting Started With MLOPS With MLFlow And Dagshub With Project.mp4622.49 Mb
  8. 29 - Steps By Step Project Implementation With LifeCycle OF ML Project/007 End To End ML Project Implementation.mp4621.65 Mb
  9. 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/012 Multiple Linear regression.mp4586.95 Mb
  10. 62 - Transformers/012 Decoder Transformer- Masked Multi Head Attention Working.mp4580 Mb
  11. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/010 Implementing Data Ingestions Component.mp4559.97 Mb
  12. 38 - Xgboost Machine Learning Algorithms/001 Xgboost Classification Indepth Intuit.mp4553.6 Mb
  13. 13 - Data Analysis With Python/002 Pandas- DataFrame And Series.mp4553.19 Mb
  14. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/014 Data Transformation Implementation.mp4531.25 Mb
  15. 32 - Naive Bayes Theorem/001 Understanding Baye's Theorem.mp4521.84 Mb
  16. 13 - Data Analysis With Python/001 Numpy In Python.mp4520.71 Mb
  17. 29 - Steps By Step Project Implementation With LifeCycle OF ML Project/002 Multiple Linear Regression Projects With Assumptions.mp4519.95 Mb
  18. 25 - Exploratory Data Analysis and Feature Engineering/003 Data Cleaning With Google Playstore Dataset.mp4489.76 Mb
  19. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/012 Implementing Data Validation-Part 2.mp4470.8 Mb
  20. 23 - Inferential Statistics/015 Partioning Of Variance In Annova.mp4468.98 Mb
  21. 28 - Ridge,Lasso And ElasticNet ML ALgorithms/005 EDA and Feature Engineering.mp4452.47 Mb
  22. 45 - Anomaly Detection Machine Learning Algorithms/001 Anomaly Detection USsing Isolation Forest Indepth Intuition.mp4447.31 Mb
  23. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/020 Model Training Pipeline Implementation.mp4446.15 Mb
  24. 25 - Exploratory Data Analysis and Feature Engineering/001 Red Wine Dataset EDA.mp4443.58 Mb
  25. 51 - NLP for Machine Learning/033 Part 1-Kindle Review Sentiment Analysis.mp4442.68 Mb
  26. 48 - End To End Machine Learning Project With AWS,Azure Deployment/011 Deployment Azure With Container And Images.mp4441.32 Mb
  27. 20 - Getting Started With Statistics/013 Correlation And Covariance.mp4429.84 Mb
  28. 48 - End To End Machine Learning Project With AWS,Azure Deployment/010 Deployment EC2 Instance With ECR.mp4425.35 Mb
  29. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/011 Implementing Data Validation-Part 1.mp4412.37 Mb
  30. 62 - Transformers/008 Layer Normalization.mp4409.82 Mb
  31. 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/008 MSE, MAE, RMSE.mp4409.79 Mb
  32. 34 - Decision Tree Classifier And Regressor/007 Decision Tree Regression.mp4408.7 Mb
  33. 29 - Steps By Step Project Implementation With LifeCycle OF ML Project/001 Basic Simple Linear Regression Project.mp4400.18 Mb
  34. 60 - Encoder Decoder Sequence To Sequence Architecture/001 Indepth Intuition Of Encoder And Decoder-Sequence to Sequence Architecture.mp4397.03 Mb
  35. 23 - Inferential Statistics/003 Z Test- Hypothesis Testing.mp4396.17 Mb
  36. 52 - Deep Learning/005 ANN Intuition and Learning.mp4386.6 Mb
  37. 41 - K Means Clustering Unsupervised ML/004 K means Clustering Implementation.mp4384.54 Mb
  38. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/015 Model Trainer Implementation- Part 1.mp4383.85 Mb
  39. 18 - Getting Started With Flask Framework/005 Building Dynamic Url ,Variables Rule And Jinja 2 Template Engine.mp4380.38 Mb
  40. 55 - Simple RNN Indepth Intuition/003 Backward Propogation With Time In RNN Training.mp4377.75 Mb
  41. 22 - Probability Distribution Function For Data/001 The Relationship Between PDF,PMF And CDF.mp4370.03 Mb
  42. 52 - Deep Learning/006 Back Propogation and Weight Updation.mp4366.89 Mb
  43. 29 - Steps By Step Project Implementation With LifeCycle OF ML Project/004 Model Training With Cross Validation Using Lasso Regression.mp4365.39 Mb
  44. 53 - End to End Deep Learning Project Using ANN/003 Step By Step Training With ANN With Optimizer and Loss Functions.mp4363.44 Mb
  45. 61 - Attention Mechanism- Seq2Seq Networks/001 Attention Mechanism Indepth Architecture Explanation.mp4357.1 Mb
  46. 30 - Logistic Regression/002 Logistic Regression Indepth Math Intuition.mp4356.36 Mb
  47. 30 - Logistic Regression/003 Performance Metrics.mp4355.15 Mb
  48. 57 - LSTM And GRU RNN Indepth Intuition/008 GRU RNN Complete Indepth Intuition.mp4352.86 Mb
  49. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/016 Model Trainer And Evaluation With Hyperparameter Tuning.mp4352.56 Mb
  50. 48 - End To End Machine Learning Project With AWS,Azure Deployment/005 Data Transformation Using Pipelines Implementation.mp4351.94 Mb
  51. 62 - Transformers/007 Positional Encoding Indepth Intuition.mp4351.37 Mb
  52. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/025 Final Deployment To EC2 instance.mp4348.25 Mb
  53. 54 - NLP With Deep Learning/001 Introduction To NLP In Deep Learning.mp4346.39 Mb
  54. 55 - Simple RNN Indepth Intuition/004 Problems With RNN.mp4334.48 Mb
  55. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/022 Final Model And Artifacts Pusher To AWS S3 buckets.mp4330.92 Mb
  56. 47 - GIT For Beginners/003 Resolving Git Branch Merge Conflict.mp4328.27 Mb
  57. 51 - NLP for Machine Learning/007 Text Preprocessing Stopwords.mp4327.72 Mb
  58. 40 - PCA/005 Eigen Decomposition on Covariance Matrix.mp4327.38 Mb
  59. 29 - Steps By Step Project Implementation With LifeCycle OF ML Project/003 Basic Regression Project From Scratch-EDA And Feature Engineering.mp4326.79 Mb
  60. 38 - Xgboost Machine Learning Algorithms/002 Xgboost Regressor.mp4324.25 Mb
  61. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/007 ETL Pipeline Setup With Python.mp4322.21 Mb
  62. 52 - Deep Learning/008 Vanishing Gradient Problem and Sigmoid.mp4314.97 Mb
  63. 03 - Python Control Flow/001 Conditional Statements (if, elif, else).mp4311.12 Mb
  64. 34 - Decision Tree Classifier And Regressor/008 Decision Tree Implementation.mp4310.92 Mb
  65. 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/010 Linear Regression with OLS.mp4308.39 Mb
  66. 28 - Ridge,Lasso And ElasticNet ML ALgorithms/001 Ridge Regression.mp4308.3 Mb
  67. 03 - Python Control Flow/002 Loops In Python.mp4306.36 Mb
  68. 25 - Exploratory Data Analysis and Feature Engineering/002 EDA And Feature Engineering Flight Price Dataset.mp4302.31 Mb
  69. 28 - Ridge,Lasso And ElasticNet ML ALgorithms/004 Cleaning the Dataset.mp4297.18 Mb
  70. 24 - Feature Engineering/001 Handling Missing Values.mp4297.09 Mb
  71. 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/003 Cost Function.mp4290.46 Mb
  72. 26 - Introduction To Machine Learning/002 Types of ML Techniques.mp4290.21 Mb
  73. 50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/003 Building Data Science Projects With BentoML.mp4289.88 Mb
  74. 52 - Deep Learning/019 Loss Function Classification Problem.mp4287.39 Mb
  75. 42 - Hierarichal Clustering/001 Hierarichal Clustering.mp4286.87 Mb
  76. 28 - Ridge,Lasso And ElasticNet ML ALgorithms/003 Types Of cross Validation.mp4284.76 Mb
  77. 51 - NLP for Machine Learning/015 BOW implementation using NLTK.mp4281.55 Mb
  78. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/024 Github Action-Docker Image Push to AWS ECR Repo Implementation.mp4281.2 Mb
  79. 13 - Data Analysis With Python/005 Data Visualization With Matplotlib.mp4278.67 Mb
  80. 51 - NLP for Machine Learning/031 Part 1-Text Classification With Word2vec And AvgWord2vec.mp4278.12 Mb
  81. 25 - Exploratory Data Analysis and Feature Engineering/004 Part 2- EDA Google Play Store Cleaned Dataset.mp4278.04 Mb
  82. 24 - Feature Engineering/003 Handling Imbalanced Dataset Using Smote.mp4275.32 Mb
  83. 22 - Probability Distribution Function For Data/003 Bernoulli Distribution.mp4274.01 Mb
  84. 40 - PCA/002 Feature Selection and Extraction.mp4270.45 Mb
  85. 51 - NLP for Machine Learning/022 Word2Vec Intuition.mp4263.52 Mb
  86. 46 - Dockers For Beginners/009 Docker Compose.mp4263.08 Mb
  87. 48 - End To End Machine Learning Project With AWS,Azure Deployment/004 Data Ingestion Implementation.mp4255.63 Mb
  88. 62 - Transformers/010 Complete Encoder transformer architecture.mp4255.2 Mb
  89. 31 - Support Vector Machines/007 Support Vector Classifiers.mp4254.34 Mb
  90. 50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/002 Data Versioning Control Implementation.mp4253.47 Mb
  91. 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/003 Packaging the Project With Setup.py.mp4252.37 Mb
  92. 48 - End To End Machine Learning Project With AWS,Azure Deployment/008 Building Prediction Pipeline.mp4252.03 Mb
  93. 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/007 Performance Metrics.mp4250.68 Mb
  94. 31 - Support Vector Machines/008 SVM Kernels implementation.mp4250.13 Mb
  95. 51 - NLP for Machine Learning/001 Roadmap to Learn NLP for Machine Learning.mp4248.89 Mb
  96. 30 - Logistic Regression/005 Logistic Regression Implementation.mp4245.56 Mb
  97. 26 - Introduction To Machine Learning/005 Instance based Vs Model based learning.mp4244.95 Mb
  98. 51 - NLP for Machine Learning/005 Text Preprocessing Stemming using NLTK.mp4244.6 Mb
  99. 48 - End To End Machine Learning Project With AWS,Azure Deployment/006 Model Trainer Implementation.mp4239.89 Mb
  100. 33 - K Nearest Neighbour ML Algorithm/001 KNN Classification And Regression Indepth Intuition.mp4239.7 Mb
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