learning python -移花宫 -武林禁地，闲人禁止入内

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

[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

[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

[GigaCourse.com] 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:2021-04-13 大小:2.0 GB 最近下载:2025-10-26 热度:1512

[ DevCourseWeb.com ] Udemy - Ensemble Machine Learning in Python - Adaboost, XGBoost.zip

[ DevCourseWeb.com ] Udemy - Ensemble Machine Learning in Python - Adaboost, XGBoost.zip 1.2 GB

[磁力链接] 添加时间:2021-05-03 大小:1.2 GB 最近下载:2025-10-26 热度:1178

[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

[磁力链接] 添加时间:2022-03-14 大小:6.5 GB 最近下载:2025-10-26 热度:747

[ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip

[ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip 3.5 GB

[磁力链接] 添加时间:2021-03-17 大小:3.5 GB 最近下载:2025-10-26 热度:4147

Practical Transfer Learning (Deep Learning) in Python

[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/1.2 train.zip 569.6 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/1. Introduction/4. Becoming Poet Part 2.mp4 137.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/1. Data Preparation-1.mp4 135.4 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/2. Dataset Preparation for Custom Model.mp4 129.4 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/3. Dataset Preparation for Custom Model.mp4 129.4 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/1. Checking against pre-trained model.mp4 111.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/2. Direct Use of Model.mp4 111.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/5. Resnet Custom Model.mp4 99.0 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/2. Existing Models Checking.mp4 94.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/4. Basic CNN Model-1.mp4 91.7 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/4. Making of Custom Model - Last Layer change.mp4 86.2 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/3. Custom Model.mp4 86.2 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/3. Data Loading -1.mp4 86.1 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/2. Image to Numpy Array.mp4 78.7 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/1. Introduction/3. Becoming Poet Part 1.mp4 77.9 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/6. Fitting Custom Resnet Model.mp4 77.1 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/4. Data Loading One Hot Encoding.mp4 74.2 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/9. Tensorflow.js Model Deployment with p5.mp4 69.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/12. Android Deployment.mp4 62.6 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/4. Audio Classification - Man in Black.mp4 57.5 MB

[磁力链接] 添加时间:2023-12-25 大小:3.2 GB 最近下载:2025-10-26 热度:5993

[GigaCourse.Com] Udemy - Beginner Machine Learning in Python + ChatGPT Bonus [2023]

02 - Regression/008 Linear Regression Hands-On - Step 3.mp4 48.4 MB
02 - Regression/010 Linear Regression Hands-On - Step 4.mp4 36.4 MB
02 - Regression/007 Linear Regression Hands-On - Step 2.mp4 36.4 MB
03 - Classification/009 Logistic Regression Hands-On - Step 5.mp4 31.3 MB
04 - Clustering/011 K-Means Clustering - Step 5b.mp4 29.0 MB
03 - Classification/002 Logistic Regression.mp4 25.9 MB
02 - Regression/005 Assumptions of Linear Regression.mp4 25.8 MB
02 - Regression/006 Linear Regression Hands-On - Step 1.mp4 25.6 MB
03 - Classification/006 Logistic Regression Hands-On - Step 3.mp4 21.5 MB
03 - Classification/004 Logistic Regression Hands-On - Step 1.mp4 21.4 MB
01 - Introduction/005 A walk-through the course materials and Google Colab.mp4 20.9 MB
04 - Clustering/007 K-Means Clustering - Step 3b.mp4 20.8 MB
04 - Clustering/006 K-Means Clustering - Step 3a.mp4 19.4 MB
03 - Classification/012 Logistic Regression Hands-On - Step 8a.mp4 19.3 MB
04 - Clustering/010 K-Means Clustering - Step 5a.mp4 17.4 MB
04 - Clustering/004 K-Means Clustering - Step 1.mp4 17.1 MB
03 - Classification/014 Confusion Matrix and Accuracy.mp4 16.3 MB
04 - Clustering/001 What is Clustering.mp4 16.2 MB
03 - Classification/007 Logistic Regression Hands-On - Step 4.mp4 15.0 MB
04 - Clustering/009 K-Means Clustering - Step 4.mp4 14.9 MB

[磁力链接] 添加时间:2024-03-19 大小:728.3 MB 最近下载:2025-10-26 热度:5525

[ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Using Python to Master the Concepts of Object Oriented Programming (OOP).zip

[ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Using Python to Master the Concepts of Object Oriented Programming (OOP).zip 358.6 MB

[磁力链接] 添加时间:2021-05-06 大小:358.6 MB 最近下载:2025-10-26 热度:2191

[FreeTutorials.Us] Master Computer Vision OpenCV4 in Python with Deep Learning

19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz 149.5 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.1 DeepLearningCV_MOCV.tar.gz.gz 142.0 MB
1. Course Introduction and Setup/9.2 MasteringComputerVision_V1.03.zip.zip 133.7 MB
18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz 126.7 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz 121.8 MB
20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz 120.1 MB
4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 113.1 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.8 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/3. Convolutions & Image Features.mp4 107.4 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp4 94.3 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1. Setup your Deep Learning Virtual Machine.mp4 81.2 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.mp4 78.0 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4 77.3 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/2. Intro to Handwritten Digit Classification (MNIST).mp4 70.6 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip 68.9 MB
6. Object Detection - Build a Face, People and CarVehicle Detectors/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 68.4 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4 66.4 MB

[磁力链接] 添加时间:2021-03-12 大小:4.2 GB 最近下载:2025-10-26 热度:3280

Frank Kane - Data Science and Machine Learning with Python

01 Getting Started/001 Introduction.mp4 46.1 MB
01 Getting Started/004 Python Basics, Part 1.mp4 46.1 MB
01 Getting Started/003 Activity Installing Enthought Canopy.mp4 35.0 MB
01 Getting Started/005 Activity Python Basics, Part 2.mp4 29.8 MB
01 Getting Started/002 Getting What You Need.mp4 26.4 MB
01 Getting Started/006 Running Python Scripts.mp4 22.6 MB
02 Statistics and Probability Refresher, and Python Practise/010 Exercise Conditional Probability.mp4 55.4 MB
02 Statistics and Probability Refresher, and Python Practise/009 Activity Covariance and Correlation.mp4 52.2 MB
02 Statistics and Probability Refresher, and Python Practise/008 Activity A Crash Course in matplotlib.mp4 51.7 MB
02 Statistics and Probability Refresher, and Python Practise/004 Activity Variation and Standard Deviation.mp4 47.8 MB
02 Statistics and Probability Refresher, and Python Practise/007 Activity Percentiles and Moments.mp4 45.1 MB
02 Statistics and Probability Refresher, and Python Practise/003 Activity Using mean, median, and mode in Python.mp4 40.9 MB
02 Statistics and Probability Refresher, and Python Practise/001 Types of Data.mp4 35.8 MB
02 Statistics and Probability Refresher, and Python Practise/012 Bayes Theorem.mp4 31.6 MB
02 Statistics and Probability Refresher, and Python Practise/002 Mean, Median, Mode.mp4 29.5 MB
02 Statistics and Probability Refresher, and Python Practise/006 Common Data Distributions.mp4 29.0 MB
02 Statistics and Probability Refresher, and Python Practise/011 Exercise Solution Conditional Probability of Purchase by Age.mp4 14.8 MB
02 Statistics and Probability Refresher, and Python Practise/005 Probability Density Function Probability Mass Function.mp4 13.0 MB
03 Predictive Models/001 Activity Linear Regression.mp4 43.1 MB
03 Predictive Models/003 Activity Multivariate Regression, and Predicting Car Prices.mp4 42.0 MB

[磁力链接] 添加时间:2017-02-09 大小:2.7 GB 最近下载:2025-10-26 热度:7177

[FreeCourseSite.com] Udemy - Machine Learning Natural Language Processing in Python (V2)

18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.1 MB
3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.3 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
11. Text Summarization/4. Text Summarization in Python.mp4 82.0 MB
6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.9 MB

[磁力链接] 添加时间:2024-02-27 大小:7.2 GB 最近下载:2025-10-26 热度:2779

[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

10. Appendix/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
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp4 57.3 MB
3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt 45.0 MB
2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4 44.4 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
1. Welcome/1. Introduction.mp4 35.9 MB
2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp4 32.5 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4 25.7 MB
6. Dynamic Programming/3. Designing Your RL Program.mp4 23.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4 20.7 MB

[磁力链接] 添加时间:2021-03-06 大小:1.6 GB 最近下载:2025-10-26 热度:2761

Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)

11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4 103.8 MB
12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4 112.4 MB
12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4 155.2 MB
12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 95.5 MB
12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4 147.5 MB
12_-_Natural_Language_Processing_and_Python/27_-_Document_Distance_using_TF-IDF.mp4 82.9 MB
05_-_K-Nearest_Neighbors/14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4 120.3 MB
05_-_K-Nearest_Neighbors/13_-_K-Nearest_Neighbors.mp4 93.0 MB
01_-_Introduction/01_-_What_this_course_is_about.mp4 131.2 MB
09_-_Dimensionality_Reduction/20_-_Principal_Component_Analysis.mp4 130.8 MB
09_-_Dimensionality_Reduction/19_-_Dimensionality_Reduction.mp4 133.7 MB
03_-_Classification_-_A_form_of_supervised_learning/06_-_Classification_-_Problems_and_Techniques.mp4 133.7 MB
03_-_Classification_-_A_form_of_supervised_learning/07_-_Bias_Variance_Trade-off.mp4 77.4 MB
04_-_Naive_Bayes_Classifier/10_-_Naive_Bayes_Classifier.mp4 77.6 MB
04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4 72.1 MB
04_-_Naive_Bayes_Classifier/11_-_Naive_Bayes_Classifier_-_An_example.mp4 100.6 MB
04_-_Naive_Bayes_Classifier/08_-_Random_Variables.mp4 125.0 MB
04_-_Naive_Bayes_Classifier/09_-_Bayes_Theorem.mp4 87.7 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/03_-_Plunging_In_-_Machine_Learning_Approaches_to_Spam_Detection.mp4 127.7 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/05_-_Get_the_Lay_of_the_Land_-_Types_of_Machine_Learning_Problems.mp4 125.9 MB

[磁力链接] 添加时间:2017-02-13 大小:3.1 GB 最近下载:2025-10-26 热度:4233

2021 Python for Data Science & Machine Learning from A-Z

[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/7. PCA - Image Compression.mp4 262.1 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/13. Pruning.mp4 118.5 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/18. K-means/3. Representing Clusters.mp4 114.9 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB

[磁力链接] 添加时间:2021-03-09 大小:7.9 GB 最近下载:2025-10-26 热度:2210