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【影视】 [FTUForum.com] [UDEMY] Machine Learning Basics Building Regression Model in Python [FTU]

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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 264.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
1. Introduction/2. Course contents.mp4 67.0 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB

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【影视】 [FreeCourseSite.com] Udemy - Neural Networks in Python Deep Learning for Beginners

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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.4 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB

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

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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

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【影视】 GetFreeCourses.Co-Udemy-TensorFlow Hub Deep Learning, Computer Vision and NLP

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3. Natural language processing/6. Q&A and information retrieval 2.mp4 162.5 MB
2. Computer vision/5. Image classification 4.mp4 114.3 MB
2. Computer vision/7. Object detection 1.mp4 109.9 MB
2. Computer vision/2. Image classification 1.mp4 107.9 MB
2. Computer vision/14. Image extension using GAN 2.mp4 99.0 MB
3. Natural language processing/8. Q&A and information retrieval 4.mp4 96.5 MB
2. Computer vision/17. Action recognition 3.mp4 95.5 MB
3. Natural language processing/9. Q&A and information retrieval 5.mp4 92.7 MB
2. Computer vision/9. Object detection 3.mp4 90.5 MB
2. Computer vision/6. Image classification 5.mp4 89.9 MB
3. Natural language processing/3. Text classification 2.mp4 87.7 MB
2. Computer vision/15. Action recognition 1.mp4 85.5 MB
3. Natural language processing/7. Q&A and information retrieval 3.mp4 84.3 MB
1. Introduction/1. Course content.mp4 83.2 MB
2. Computer vision/18. Action recognition 4.mp4 79.1 MB
2. Computer vision/3. Image classification 2.mp4 71.6 MB
2. Computer vision/4. Image classification 3.mp4 68.4 MB
3. Natural language processing/10. Audio classification 1.mp4 68.2 MB
4. Extra content 1 Artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp4 66.5 MB
2. Computer vision/11. Style transfer 2.mp4 65.5 MB

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【影视】 [ CourseWikia.com ] Generative AI for Beginners by Aakriti E-Learning Academy

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~Get Your Files Here !/4. GenAI Use Cases Across Industries/2. Software Development.mp4 113.7 MB
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~Get Your Files Here !/3. Understanding key terminologies/2. LLM (Large Language Model).mp4 42.9 MB
~Get Your Files Here !/5. Building our Own GenAI Chatbot/5. Creating chatbot (Part 2).mp4 42.5 MB
~Get Your Files Here !/2. Understanding Generative AI/4. Explore ChatGPT Features & Capabilities.mp4 42.5 MB
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【影视】 [ FreeCourseWeb.com ] Udemy - Machine Learning Confusion Matrix Made Simple

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~Get Your Files Here !/3. Measurement Parameters from Confusion Matrix/11. F1 Score from Confusion Matrix.mp4 38.7 MB
~Get Your Files Here !/3. Measurement Parameters from Confusion Matrix/9. Prevalence from Confusion Matrix.mp4 34.8 MB
~Get Your Files Here !/3. Measurement Parameters from Confusion Matrix/8. Specificity from Confusion Matrix.mp4 29.6 MB
~Get Your Files Here !/3. Measurement Parameters from Confusion Matrix/10. False Positive Rate from Confusion Matrix.mp4 29.5 MB
~Get Your Files Here !/3. Measurement Parameters from Confusion Matrix/1. Interpreting the Confusion Matrix.mp4 29.4 MB
~Get Your Files Here !/1. Introduction to Confusion Matrix and its Terminology/6. What is False Positive - 1.mp4 28.0 MB
~Get Your Files Here !/3. Measurement Parameters from Confusion Matrix/7. Sensitivity from Confusion Matrix.mp4 25.9 MB
~Get Your Files Here !/2. Filling the Confusion Matrix/8. Populating the Confusion Matrix with values.mp4 25.9 MB
~Get Your Files Here !/2. Filling the Confusion Matrix/7. Filing the Confusion Matrix - 7.mp4 24.9 MB
~Get Your Files Here !/1. Introduction to Confusion Matrix and its Terminology/8. What is False Negative - 1.mp4 24.0 MB
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~Get Your Files Here !/3. Measurement Parameters from Confusion Matrix/5. Accuracy from Confusion Matrix.mp4 21.9 MB
~Get Your Files Here !/3. Measurement Parameters from Confusion Matrix/2. Type 1 Error from Confusion Matrix.mp4 21.4 MB
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~Get Your Files Here !/1. Introduction to Confusion Matrix and its Terminology/4. What is True Negative - 1.mp4 16.5 MB
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【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
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34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

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【影视】 [FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]

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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
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02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
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13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
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13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
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【影视】 [ DevCourseWeb.com ] Udemy - Beginners Guide To Deep Learning 2022

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收录时间:2018-02-13 文档个数:44 文档大小:36.4 GB 最近下载:2025-05-15 人气:725 磁力链接

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IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.11 WCCP.avi 166.5 MB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.12 Security.avi 1.0 GB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.2 Frame-Relay.avi 1.6 GB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.3 Frame-Relay Exercises.avi 1.6 GB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.4 Bridging.avi 742.6 MB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.5 Bridging Exercises.avi 539.1 MB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.6 Switching.avi 883.2 MB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.7 Switching Exercises.avi 1.6 GB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.8 PPP.avi 501.1 MB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD1/R&S Day 1.9 PPP Exercises.avi 344.6 MB
IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD2/R&S VoD D2 EIGRP Exercises.avi 586.4 MB
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IP.Expert.CCIE.Routing.And.Switching.Lab.Blended.Learning.Solution.Video.On.Demand.DVD2/R&S VoD D2 General Routing.avi 761.9 MB
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