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[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 - Understand and design CNNs/177 - Examine feature map activations.mp4 432.2 MB
  • 22 - Style transfer/205 - Transferring the screaming bathtub.mp4 361.5 MB
  • 19 - Understand and design CNNs/176 - Classify Gaussian blurs.mp4 293.3 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/218 - CodeChallenge sine wave extrapolation.mp4 272.5 MB
  • 18 - Convolution and transformations/163 - Convolution in code.mp4 270.8 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/217 - Predicting alternating sequences.mp4 259.1 MB
  • 26 - Where to go from here/229 - How to read academic DL papers.mp4 232.8 MB
  • 19 - Understand and design CNNs/184 - The EMNIST dataset letter recognition.mp4 230.7 MB
  • 19 - Understand and design CNNs/174 - CNN to classify MNIST digits.mp4 228.4 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/222 - Lorem ipsum.mp4 226.2 MB
  • 7 - ANNs Artificial Neural Networks/52 - Multioutput ANN iris dataset.mp4 225.5 MB
  • 23 - Generative adversarial networks/210 - CNN GAN with Gaussians.mp4 224.6 MB
  • 21 - Transfer learning/200 - Pretraining with autoencoders.mp4 218.8 MB
  • 19 - Understand and design CNNs/180 - Do autoencoders clean Gaussians.mp4 216.1 MB
  • 9 - Regularization/72 - Dropout regularization in practice.mp4 211.2 MB
  • 21 - Transfer learning/198 - Transfer learning with ResNet18.mp4 210.9 MB
  • 16 - Autoencoders/157 - Autoencoder with tied weights.mp4 210.4 MB
  • 7 - ANNs Artificial Neural Networks/47 - ANN for classifying qwerties.mp4 205.8 MB
  • 10 - Metaparameters activations optimizers/82 - The wine quality dataset.mp4 203.8 MB
  • 18 - Convolution and transformations/171 - Image transforms.mp4 202.3 MB
[磁力链接] 添加时间:2023-12-18 大小:25.4 GB 最近下载:2025-10-27 热度:5814

Diploma in Python with Data Science and Machine Learning

  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4 1.4 GB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4 1.4 GB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4 1.1 GB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4 752.1 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4 657.8 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4 586.7 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4 516.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4 490.0 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4 464.7 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4 318.2 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4 192.8 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/15. Project Based Learning and Mini Project/7. PBL7.mp4 161.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/17. CSS/8. Web Development CSS 8.mp4 157.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4 152.3 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/16. Web Development Bootcamp/1. 1. Web development 1.mp4 149.2 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/17. CSS/9. Web Development CSS 9.mp4 140.1 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/13. 12. Advanced Machine Learning/5. 05. Case study.mp4 139.5 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/17. CSS/7. Web Development CSS 7.mp4 133.7 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4 133.4 MB
  • [TutsNode.com] - Diploma in Python with Data Science and Machine Learning/14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4 115.5 MB
[磁力链接] 添加时间:2022-02-02 大小:13.9 GB 最近下载:2025-10-27 热度:8805

[ FreeCourseWeb.com ] Udemy - The Complete Supervised Machine Learning Models in Python.zip

  • [ FreeCourseWeb.com ] Udemy - The Complete Supervised Machine Learning Models in Python.zip 5.8 GB
[磁力链接] 添加时间:2021-04-26 大小:5.8 GB 最近下载:2025-10-27 热度:4660

Machine Learning Classification Bootcamp in Python

  • Machine Learning Classification Bootcamp in Python.zip 6.1 GB
  • [TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
  • TutsNode.com.txt 63 Bytes
[磁力链接] 添加时间:2021-03-16 大小:6.1 GB 最近下载:2025-10-27 热度:2364

Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (11.2023)

  • 10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.mp4 176.2 MB
  • 10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 114.5 MB
  • 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.1 MB
  • 01 - Introduction and Outline/002 Where to get the Code and Data.mp4 76.8 MB
  • 04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.mp4 72.9 MB
  • 06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.mp4 68.4 MB
  • 06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.mp4 67.4 MB
  • 02 - Markov Models/004 The Math of Markov Chains.mp4 61.8 MB
  • 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4 58.8 MB
  • 06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).mp4 56.9 MB
  • 05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.mp4 53.0 MB
  • 02 - Markov Models/002 Markov Models.mp4 48.1 MB
  • 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 44.5 MB
  • 06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).mp4 43.7 MB
  • 05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.mp4 43.5 MB
  • 09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.mp4 42.7 MB
  • 13 - Appendix FAQ Finale/002 BONUS.mp4 41.9 MB
  • 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4 38.9 MB
  • 07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 36.4 MB
  • 04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.mp4 35.9 MB
[磁力链接] 添加时间:2025-07-08 大小:2.1 GB 最近下载:2025-10-27 热度:189

Linkedin Learning Python For Non-Programmers

  • 7. Project 3- Number Guesser/2. Higher lower and polish.mp4 20.2 MB
  • 3. Project 1- Fortune Cookie/2. Choosing what fortune to show.mp4 16.0 MB
  • 5. Project 2- Lyrics Analyzer/2. Counting the words.mp4 15.2 MB
  • 3. Project 1- Fortune Cookie/1. Picking random numbers.mp4 14.9 MB
  • 2. Python Basics/5. Booleans and if statements.mp4 14.2 MB
  • 4. Lists Loops and Dictionaries/3. For loops.mp4 14.2 MB
  • 7. Project 3- Number Guesser/1. Game loop.mp4 13.5 MB
  • 2. Python Basics/6. Comparison and else.mp4 13.3 MB
  • 6. Functions and More/5. Input.mp4 12.6 MB
  • 2. Python Basics/4. Using variables in strings.mp4 12.1 MB
  • 4. Lists Loops and Dictionaries/4. Dictionaries.mp4 11.8 MB
  • 2. Python Basics/1. Variables.mp4 11.5 MB
  • 5. Project 2- Lyrics Analyzer/1. Splitting a string.mp4 11.4 MB
  • 4. Lists Loops and Dictionaries/2. Lists- Add insert delete.mp4 11.4 MB
  • 2. Python Basics/3. Strings.mp4 10.4 MB
  • 6. Functions and More/3. Return.mp4 10.2 MB
  • 2. Python Basics/2. Numbers- Ints and floats.mp4 9.3 MB
  • 6. Functions and More/2. Parameters.mp4 9.3 MB
  • 4. Lists Loops and Dictionaries/1. Lists.mp4 9.3 MB
  • 6. Functions and More/4. Comments.mp4 8.9 MB
[磁力链接] 添加时间:2024-08-13 大小:298.5 MB 最近下载:2025-10-27 热度:3856

Packt.Step.by.Step.Machine.Learning.with.Python

  • 1 - Getting Started with Python and Machine Learning/Installing Software and Setting Up.mp4 23.1 MB
  • 1 - Getting Started with Python and Machine Learning/Introduction to Machine Learning.mp4 13.7 MB
  • 1 - Getting Started with Python and Machine Learning/The Course Overview.mp4 18.0 MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Clustering.mp4 10.9 MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Data Preprocessing.mp4 9.6 MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Getting the Newsgroups Data.mp4 14.8 MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Machine Learning with Python.mp4 1.7 MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Thinking about Features.mp4 21.3 MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Topic Modeling.mp4 13.7 MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Touring Powerful NLP Libraries in Python.mp4 42.2 MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Understanding NLP.mp4 16.7 MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Visualization.mp4 12.1 MB
  • 3 - Spam Email Detection with Naïve Bayes#/Classifier Performance Evaluation.mp4 38.8 MB
  • 3 - Spam Email Detection with Naïve Bayes#/Exploring Naïve Bayes.mp4 5.4 MB
  • 3 - Spam Email Detection with Naïve Bayes#/Getting Started with Classification.mp4 9.2 MB
  • 3 - Spam Email Detection with Naïve Bayes#/Model Tuning and cross-validation.mp4 19.1 MB
  • 3 - Spam Email Detection with Naïve Bayes#/The Mechanics of Naïve Bayes.mp4 7.7 MB
  • 3 - Spam Email Detection with Naïve Bayes#/The Naïve Bayes Implementation.mp4 60.1 MB
  • 4 - News Topic Classification with Support Vector Machine/Choosing Between the Linear and the RBF Kernel.mp4 14.9 MB
  • 4 - News Topic Classification with Support Vector Machine/Fetal State Classification with SVM.mp4 22.9 MB
[磁力链接] 添加时间:2018-01-31 大小:999.9 MB 最近下载:2025-10-27 热度:3572

[FreeCourseSite.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-01-10 大小:7.2 GB 最近下载:2025-10-27 热度:940

[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip

  • [ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip 773.2 MB
[磁力链接] 添加时间:2021-03-22 大小:773.2 MB 最近下载:2025-10-27 热度:347

Machine Learning from the scratch using Python

  • Machine Learning from the scratch using Python.zip 4.7 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-03-09 大小:4.7 GB 最近下载:2025-10-26 热度:3407

[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

  • 11 - Generative Models/107 - Variational AutoEncoders VAE Handson with Fashion MNIST.mp4 255.6 MB
  • 8 - Apache Spark Machine Learning on Big Data/74 - Activity Installing Spark Part 2.mp4 205.6 MB
  • 1 - Getting Started/6 - Activity MAC Installing and Using Anaconda Course Materials.mp4 197.9 MB
  • 10 - Deep Learning and Neural Networks/102 - Activity Transfer Learning.mp4 195.1 MB
  • 6 - More Data Mining and Machine Learning Techniques/57 - Reinforcement Learning.mp4 191.1 MB
  • 5 - Recommender Systems/50 - Activity Making Movie Recommendations with ItemBased Collaborative Filtering.mp4 190.1 MB
  • 8 - Apache Spark Machine Learning on Big Data/79 - Activity KMeans Clustering in Spark.mp4 187.1 MB
  • 10 - Deep Learning and Neural Networks/94 - Activity Using Tensorflow Part 1.mp4 178.2 MB
  • 3 - Predictive Models/28 - Activity Multiple Regression and Predicting Car Prices.mp4 158.2 MB
  • 2 - Statistics and Probability Refresher and Python Practice/16 - Activity Variation and Standard Deviation.mp4 156.3 MB
  • 2 - Statistics and Probability Refresher and Python Practice/21 - Activity Advanced Visualization with Seaborn.mp4 156.3 MB
  • 10 - Deep Learning and Neural Networks/95 - Activity Using Tensorflow Part 2.mp4 156.2 MB
  • 2 - Statistics and Probability Refresher and Python Practice/23 - Exercise Conditional Probability.mp4 154.6 MB
  • 11 - Generative Models/109 - Generative Adversarial Networks GANs Playing with some demos.mp4 151.8 MB
  • 6 - More Data Mining and Machine Learning Techniques/53 - Activity Using KNN to predict a rating for a movie.mp4 147.6 MB
  • 8 - Apache Spark Machine Learning on Big Data/81 - Activity Searching Wikipedia with Spark.mp4 146.2 MB
  • 5 - Recommender Systems/48 - Activity Finding Movie Similarities using Cosine Similarity.mp4 143.7 MB
  • 3 - Predictive Models/26 - Activity Linear Regression.mp4 143.3 MB
  • 9 - Experimental Design ML in the Real World/88 - AB Test Gotchas.mp4 141.0 MB
  • 8 - Apache Spark Machine Learning on Big Data/78 - Introduction to Decision Trees in Spark.mp4 140.5 MB
[磁力链接] 添加时间:2023-12-21 大小:9.2 GB 最近下载:2025-10-26 热度:4446

[FreeCoursesOnline.Me] [Packt] Python Machine Learning Tips, Tricks, and Techniques [FCO]

  • 24 - Perform Metric Selection on Real Data.mp4 230.9 MB
  • 02 - Using Feature Scaling to Standardize Data.mp4 39.3 MB
  • 08 - Implementing kNN on the Data Set.mp4 35.9 MB
  • 13 - Gradient Boosting Trees and Bayes Optimization.mp4 35.0 MB
  • 16 - Implement Stacking.mp4 32.7 MB
  • 19 - Applying Matrix Factorization on Datasets.mp4 28.8 MB
  • 15 - Implement Blending.mp4 28.7 MB
  • 09 - Decision Tree as Predictive Model.mp4 28.4 MB
  • 01 - The Course Overview.mp4 28.3 MB
  • 12 - Random Forest for Classification.mp4 25.0 MB
  • 07 - Support Vector Machines.mp4 24.4 MB
  • 20 - Wordbatch for Real-World Problem.mp4 24.4 MB
  • 21 - Validation Dataset Tuning.mp4 23.2 MB
  • 04 - Extracting Data with Feature Selection and Interaction.mp4 23.0 MB
  • 17 - Memory-Based Collaborative Filtering.mp4 22.4 MB
  • 11 - Combining All Together.mp4 22.3 MB
  • 18 - Item-to-Item Recommendation with kNN.mp4 22.3 MB
  • 10 - Tricks with Dimensionality Reduction.mp4 21.5 MB
  • 14 - CatBoost to Handle Categorical Data.mp4 21.1 MB
  • 23 - Adversarial Validation.mp4 20.9 MB
[磁力链接] 添加时间:2021-03-19 大小:795.2 MB 最近下载:2025-10-26 热度:1690

Edureka - Practical Deep Learning With Python

  • 03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/09-demonstration_next_word_prediction_model_compilation_and_prediction.mp4 101.3 MB
  • 01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/09-demonstration_handwritten_digits_classification_optimizing_the_model.mp4 93.1 MB
  • 02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/05-demonstration_object_detection_with_faster_rcnn_building_the_model.mp4 86.9 MB
  • 02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/11-demonstration_building_basic_cnn_model_with_new_parameters.mp4 82.0 MB
  • 01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/13-single_layer_perceptron_decision_boundary.mp4 80.9 MB
  • 02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/04-demonstration_object_detection_with_faster_rcnn_pretrained_model_setup.mp4 78.3 MB
  • 01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/08-demonstration_handwritten_digits_classification_designing_the_model.mp4 76.8 MB
  • 02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/10-demonstration_adding_more_layers.mp4 65.4 MB
  • 03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/06-demonstration_rnn_building_the_model.mp4 65.4 MB
  • 03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/05-demonstration_rnn_dataset_preparation.mp4 65.1 MB
  • 03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/08-demonstration_next_word_prediction_layers.mp4 61.8 MB
  • 03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/06-demonstration_model_compilation_preparing_the_dataset.mp4 58.2 MB
  • 02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/07-demonstration_training_the_model_and_visualizing_the_predictions.mp4 56.2 MB
  • 02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/07-demonstration_designing_the_model.mp4 55.4 MB
  • 03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/07-demonstration_next_word_prediction_processing_the_corpus.mp4 52.6 MB
  • 03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/07-demonstration_building_and_compiling_model.mp4 48.5 MB
  • 03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/08-demonstration_from_rmsprop_to_adam.mp4 47.4 MB
  • 01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/12-single_layer_perceptron_define_sigmoid_function.mp4 46.1 MB
  • 01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/03-neural_networks.mp4 44.2 MB
  • 02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/06-demonstration_load_and_preprocess_the_data.mp4 44.1 MB
[磁力链接] 添加时间:2025-03-03 大小:2.9 GB 最近下载:2025-10-26 热度:5409

[OneHack.Us] Edureka.co - Applied Machine Learning With Python 2025

  • 03-Association_Rule_Mining_And_Recommendation_System/01-Association_Rules/03-demonstrating_apriori_algorithm.mp4 91.9 MB
  • 02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/02-terminologies_in_svm.mp4 90.4 MB
  • 02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/03-hinge_loss_function_and_other_parameters.mp4 86.8 MB
  • 02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/04-step_by_step_building_of_decision_tree.mp4 81.6 MB
  • 01-Introduction_To_Machine_Learning/03-Regression/03-calculating_ols.mp4 79.1 MB
  • 02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/08-example_of_naive_bayes_algorithm.mp4 78.5 MB
  • 03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/10-demonstration_of_boosting_building_a_model.mp4 76.8 MB
  • 02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/05-demonstration_of_svm_setting_up_the_svm_classifier.mp4 71.3 MB
  • 02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/07-demonstration_building_decision_tree_and_random_forest.mp4 66.7 MB
  • 02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/02-what_is_decision_tree.mp4 66.7 MB
  • 03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/12-demonstration_of_k_means_clustering.mp4 64.1 MB
  • 02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/04-eigen_values_and_eigen_vectors.mp4 62.3 MB
  • 01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/02-example_for_calculating_confusion_matrix.mp4 61.4 MB
  • 02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/09-demonstration_of_lda.mp4 61.4 MB
  • 01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/04-overfitting_and_underfitting.mp4 60.3 MB
  • 02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/01-dimensionality_reduction.mp4 60.2 MB
  • 01-Introduction_To_Machine_Learning/03-Regression/14-demonstration_of_logistic_regression_transforming_data.mp4 60.1 MB
  • 03-Association_Rule_Mining_And_Recommendation_System/02-Recommendation_Engines/03-demonstration_of_recommendation_engine_preparing_data.mp4 59.5 MB
  • 03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/03-demonstration_of_boosting_cleaning_and_transforming_dataset.mp4 59.0 MB
  • 02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/08-working_of_lda.mp4 58.2 MB
[磁力链接] 添加时间:2025-03-10 大小:3.9 GB 最近下载:2025-10-26 热度:3015

[ WebToolTip.com ] Udemy - Python for AI and Machine Learning - From Beginner to Pro

  • ~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/3 -Air Quality Monitoring in India A Python and ML Case Study Part 3.mp4 163.8 MB
  • ~Get Your Files Here !/6 - Deep Learning with TensorFlow and PyTorch/1 -Convolutional neural network (CNN) with PyTorch for image classification.mp4 131.3 MB
  • ~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/data/DrnMppr-ORT-AOI.tif 125.4 MB
  • ~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/data/ortho.tif 125.4 MB
  • ~Get Your Files Here !/11 - Capstoe Project 4 Comprehensive Guide to Machine Learning, and Data Processing/2 -Comprehensive Guide to Machine Learning, and Data Processing, Part 2.mp4 121.8 MB
  • ~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/2 -Air Quality Monitoring in India A Python and ML Case Study Part 2.mp4 116.7 MB
  • ~Get Your Files Here !/6 - Deep Learning with TensorFlow and PyTorch/2 -Using GPUs for faster training.mp4 115.4 MB
  • ~Get Your Files Here !/11 - Capstoe Project 4 Comprehensive Guide to Machine Learning, and Data Processing/1 -Comprehensive Guide to Machine Learning, and Data Processing, Part 1.mp4 109.2 MB
  • ~Get Your Files Here !/10 - Capstone Project 3 Counting Plants Using Computer Vision Techniques/1 -Detecting and Counting Plants Using Computer Vision Techniques.mp4 104.1 MB
  • ~Get Your Files Here !/11 - Capstoe Project 4 Comprehensive Guide to Machine Learning, and Data Processing/3 -Comprehensive Guide to Machine Learning, and Data Processing, Part 3.mp4 87.8 MB
  • ~Get Your Files Here !/3 - Data Handling with Pandas and NumPy/1 -Introduction to NumPy for numerical computing.mp4 86.0 MB
  • ~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/1 -Air Quality Monitoring in India A Python and ML Case Study Part 1.mp4 85.5 MB
  • ~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/4 -Air Quality Monitoring in India A Python and ML Case Study Part 4.mp4 84.6 MB
  • ~Get Your Files Here !/11 - Capstoe Project 4 Comprehensive Guide to Machine Learning, and Data Processing/4 -Comprehensive Guide to Machine Learning, and Data Processing, Part 4.mp4 79.3 MB
  • ~Get Your Files Here !/8 - Capstone Project 1 Crop Health Prediction/1 -Building a Machine Learning Model for Crop Health Analysis.mp4 79.3 MB
  • ~Get Your Files Here !/1 - Introduction/1 -Welcome and course overview.mp4 73.7 MB
  • ~Get Your Files Here !/4 - Data Visualization with Matplotlib and Seaborn/2 -Advanced visualizations with Seaborn Heatmaps, pair plots, and box plots.mp4 71.9 MB
  • ~Get Your Files Here !/2 - Python Programming Fundamentals/5 -Working with lists, dictionaries, and sets for data processing.mp4 64.0 MB
  • ~Get Your Files Here !/4 - Data Visualization with Matplotlib and Seaborn/1 -Creating plots with Matplotlib Line, scatter, and bar charts.mp4 64.0 MB
  • ~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/data.csv 61.2 MB
[磁力链接] 添加时间:2025-08-24 大小:2.5 GB 最近下载:2025-10-26 热度:368

[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python

  • 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
  • 5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
  • 11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
  • 2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
  • 2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
  • 10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 51.5 MB
  • 10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 47.1 MB
  • 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4 44.4 MB
  • 11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
  • 11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
  • 1. Welcome/1. Introduction.mp4 35.9 MB
  • 2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4 35.6 MB
[磁力链接] 添加时间:2021-03-21 大小:2.0 GB 最近下载:2025-10-26 热度:1878

[FreeCourseSite.com] Udemy - Complete Python for Data Science & Machine Learning from A-Z

  • 53. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.1 MB
  • 53. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • 55. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
  • 54. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.6 MB
  • 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 136.7 MB
  • 52. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
  • 1. Installations/3. Installing Anaconda Distribution for Linux.mp4 133.4 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • 52. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.9 MB
  • 32. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
  • 57. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.3 MB
  • 38. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • 55. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • 36. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • 33. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
  • 36. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • 61. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
  • 29. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB
[磁力链接] 添加时间:2024-02-16 大小:13.1 GB 最近下载:2025-10-26 热度:3425

[ FreeCourseWeb.com ] Deep Learning CNN - Convolutional Neural Networks with Python

  • ~Get Your Files Here !/Chapter 9 Transfer Learning/005. Project in TensorFlow.mp4 156.9 MB
  • ~Get Your Files Here !/Chapter 12 Neural Style Transfer/001. Problem Setup.mp4 115.6 MB
  • ~Get Your Files Here !/Chapter 7 Introduction to TensorFlow/002. FashionMNIST Example Plan Neural Network.mp4 93.7 MB
  • ~Get Your Files Here !/Chapter 7 Introduction to TensorFlow/003. FashionMNIST Example CNN.mp4 92.5 MB
  • ~Get Your Files Here !/Chapter 1 Introduction to the Course/003. Why CNN.mp4 86.9 MB
  • ~Get Your Files Here !/Chapter 6 Gradient Descent in CNNs/020. Implementation in NumPy BackwardPass 5.mp4 84.8 MB
  • ~Get Your Files Here !/Chapter 11 Face Verification/002. Project Implementation.mp4 75.0 MB
  • ~Get Your Files Here !/Chapter 2 Image Processing/026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4 67.5 MB
  • ~Get Your Files Here !/Chapter 5 Deep Neural Network Architecture/010. NonVectorized Implementations of Conv2d and Pool2d.mp4 67.0 MB
  • ~Get Your Files Here !/Chapter 3 Object Detection/007. Shift Scale Rotation Invariance Exercise.mp4 61.5 MB
  • ~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/033. Rprop and Momentum.mp4 60.8 MB
  • ~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/037. DropOut, Early Stopping and Hyperparameters.mp4 53.6 MB
  • ~Get Your Files Here !/Chapter 6 Gradient Descent in CNNs/019. Implementation in NumPy BackwardPass 4.mp4 52.0 MB
  • ~Get Your Files Here !/Chapter 1 Introduction to the Course/001. Course Overview.mp4 51.2 MB
  • ~Get Your Files Here !/Chapter 3 Object Detection/006. Shift Scale Rotation Invariance.mp4 48.3 MB
  • ~Get Your Files Here !/Chapter 3 Object Detection/002. Classification Pipeline.mp4 46.0 MB
  • ~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/001. Neuron and Perceptron.mp4 45.8 MB
  • ~Get Your Files Here !/Chapter 9 Transfer Learning/003. ImageNet Challenge.mp4 44.7 MB
  • ~Get Your Files Here !/Chapter 3 Object Detection/008. Person Detection.mp4 44.2 MB
  • ~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/028. Weight Initialization.mp4 43.8 MB
[磁力链接] 添加时间:2024-06-16 大小:3.8 GB 最近下载:2025-10-26 热度:1451

[FreeCourseSite.com] Udemy - Introduction to Machine Learning & Deep Learning in Python

  • 17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.vtt 74.0 MB
  • 2. Installations/3. Installing Keras and TensorFlow.vtt 68.5 MB
  • 8. Decision Trees/3. Decision trees introduction - information gain.mp4 49.2 MB
  • 3. Linear Regression/2. Linear regression theory - optimization.mp4 44.3 MB
  • 12. Neural Networks/29. Neural network example II - iris dataset.mp4 37.3 MB
  • 3. Linear Regression/1. Linear regression introduction.mp4 27.7 MB
  • 12. Neural Networks/12. Optimization - cost function.mp4 27.2 MB
  • 6. Naive Bayes Classifier/7. Naive Bayes example - clustering news.mp4 24.5 MB
  • 6. Naive Bayes Classifier/5. Text clustering - basics.mp4 23.2 MB
  • 19. Course Materials (DOWNLOADS)/1.1 PythonMachineLearning.zip.zip 23.0 MB
  • 7. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.mp4 22.7 MB
  • 4. Logistic Regression/4. Logistic regression example II- credit scoring.mp4 22.4 MB
  • 14. Computer Vision - Face Detection/2. Viola-Jones algorithm.mp4 22.0 MB
  • 7. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.mp4 21.8 MB
  • 12. Neural Networks/17. Gradient calculation I - output layer.mp4 21.3 MB
  • 18. Recurrent Neural Networks/4. Vanishing and exploding gradients problem.mp4 20.6 MB
  • 12. Neural Networks/13. Simplified feedforward network.mp4 20.4 MB
  • 8. Decision Trees/2. Decision trees introduction - entropy.mp4 20.2 MB
  • 12. Neural Networks/2. Axons and neurons in the human brain.mp4 20.2 MB
  • 11. Clustering/6. K-means clustering - text clustering.mp4 19.8 MB
[磁力链接] 添加时间:2021-03-08 大小:2.0 GB 最近下载:2025-10-26 热度:2272

Python Machine Learning and Data science Course 2023

  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/3 - Machine Learning Introduction/12 - Machine 2.mp4 300.6 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/40 - Pandas 1.mp4 203.4 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/3 - Machine Learning Introduction/14 - Machine 1.mp4 201.4 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/3 - Machine Learning Introduction/13 - Machine 3.mp4 201.4 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/4 - NumPy and Data Science/18 - Numpy 4.mp4 195.2 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/41 - Pandas 2.mp4 171.8 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/45 - Pandas 6.mp4 132.0 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/43 - Pandas 4.mp4 90.0 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/34 - Model 4.mp4 81.1 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/60 - Pandas 21.mp4 80.3 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/37 - Model 7.mp4 79.9 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/33 - Model 3.mp4 78.3 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/57 - Pandas 18.mp4 71.9 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/39 - Model 9.mp4 71.3 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/58 - Pandas 19.mp4 70.7 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/59 - Pandas 20.mp4 69.7 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/62 - Pandas 23.mp4 69.0 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/36 - Model 6.mp4 67.3 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/42 - Pandas 3.mp4 66.2 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/32 - Model 2.mp4 66.0 MB
[磁力链接] 添加时间:2023-12-25 大小:4.0 GB 最近下载:2025-10-26 热度:3727


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