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[FTUForum.com] [UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]

  • 9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
  • 9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
  • 9. Appendix/11. What order should I take your courses in (part 2).mp4 129.0 MB
  • 9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.4 MB
  • 2. Beginner_s Corner/3. Spam Detection with SVMs.mp4 106.4 MB
  • 9. Appendix/10. What order should I take your courses in (part 1).mp4 92.7 MB
  • 7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.mp4 87.7 MB
  • 9. Appendix/6. How to Code by Yourself (part 1).mp4 86.6 MB
  • 8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4 83.4 MB
  • 9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.mp4 75.8 MB
  • 4. Linear SVM/5. Linear and Quadratic Programming.mp4 67.3 MB
  • 7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).mp4 61.6 MB
  • 5. Duality/2. Duality and Lagrangians (part 1).mp4 61.5 MB
  • 9. Appendix/7. How to Code by Yourself (part 2).mp4 59.4 MB
  • 2. Beginner_s Corner/6. Cross-Validation.mp4 57.3 MB
  • 4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4 54.5 MB
  • 2. Beginner_s Corner/5. Regression with SVMs.mp4 53.4 MB
  • 4. Linear SVM/4. Linear SVM Objective.mp4 51.6 MB
  • 2. Beginner_s Corner/4. Medical Diagnosis with SVMs.mp4 50.2 MB
[磁力链接] 添加时间:2021-03-07 大小:3.3 GB 最近下载:2025-10-26 热度:2461

[FreeCourseSite.com] Udemy - Machine Learning with Python COMPLETE COURSE FOR BEGINNERS

  • С СУБТИРАМИ НА РУССКОМ/с 8 по 11 папку.mp4 794.1 MB
  • С СУБТИРАМИ НА РУССКОМ/7 папка.mp4 725.5 MB
  • С СУБТИРАМИ НА РУССКОМ/4 папка с 1 по 5.mp4 705.6 MB
  • 6. Regression/1. Linear Regression.mp4 471.4 MB
  • С СУБТИРАМИ НА РУССКОМ/1 по 3 папки.mp4 469.4 MB
  • С СУБТИРАМИ НА РУССКОМ/5 и 6 папка.mp4 415.3 MB
  • 4. ntroduction to Python/5. Data Structures.mp4 398.9 MB
  • 4. ntroduction to Python/8. Data Visualisation.mp4 373.4 MB
  • 4. ntroduction to Python/7. Pandas.mp4 360.8 MB
  • 4. ntroduction to Python/6. Numpy.mp4 340.4 MB
  • 7. Classification/1. Logistic Regression.mp4 337.1 MB
  • 7. Classification/2. KNN.mp4 299.8 MB
  • 10. Our Project (Recomendation System)/2. Recommendations System.mp4 297.6 MB
  • 4. ntroduction to Python/4. Python Basics II.mp4 229.6 MB
  • 7. Classification/5. Decision Tree.mp4 227.6 MB
  • 4. ntroduction to Python/3. Python_Basics.mp4 200.2 MB
  • 9. Ensemble ML/2. Boosting.mp4 173.7 MB
  • 10. Our Project (Recomendation System)/1. PCA.mp4 165.5 MB
  • 9. Ensemble ML/1. Bagging.mp4 164.1 MB
  • 8. Clustering/1. K-means.mp4 144.2 MB
[磁力链接] 添加时间:2024-01-24 大小:8.6 GB 最近下载:2025-10-26 热度:1480

Machine learning e data science com python

  • 10 Redes Neurais Artificiais/attached_files/129 Redes Neurais com PyBrain - Instalação/rede-neural.py.part 182 Bytes
  • 06 Pandas/attached_files/088 Visualização 04 - Histograma e Gráfico de Pizza/populacao-brasil.csv.zip.part 397 Bytes
  • 08 kNN - Classificação/attached_files/098 Calculando a distância euclidiana/codigo.zip.part 439 Bytes
  • 02 Introdução a programação com Python/attached_files/025 Criando módulos/notebook.zip.part 441 Bytes
  • 05 NumPy/attached_files/047 NumPy array versus Python list/notebook.zip 641 Bytes
  • 02 Introdução a programação com Python/attached_files/017 Condições/notebook.zip 647 Bytes
  • 02 Introdução a programação com Python/attached_files/020 Estrutura de repetição for/notebook.zip 661 Bytes
  • 05 NumPy/attached_files/059 Repetindo um array com tile/notebook.zip 690 Bytes
  • 09 kNN - Regressão/attached_files/115 Implementando o kNN Regressão/codigo.zip.part 708 Bytes
  • 05 NumPy/attached_files/058 Repetindo elementos de um array/notebook.zip.part 728 Bytes
  • 05 NumPy/attached_files/061 Criando arrays de zeros e uns/notebook.zip.part 736 Bytes
  • 02 Introdução a programação com Python/attached_files/027 Orientação a objetos/notebook.zip 741 Bytes
  • 02 Introdução a programação com Python/attached_files/022 Conjuntos/notebook.zip.part 748 Bytes
  • 02 Introdução a programação com Python/attached_files/013 Variáveis/notebook.zip.part 776 Bytes
  • 05 NumPy/attached_files/057 Deletando elementos do array/notebook.zip 779 Bytes
  • 05 NumPy/attached_files/055 Inserindo elementos no array/notebook.zip 802 Bytes
  • 02 Introdução a programação com Python/attached_files/019 Listas/notebook.zip.part 835 Bytes
  • 05 NumPy/attached_files/060 Dividindo um array/notebook.zip.part 842 Bytes
  • 05 NumPy/attached_files/070 Lendo arquivos CSV com NumPy/notebook.zip 861 Bytes
  • 02 Introdução a programação com Python/attached_files/015 Variáveis string/notebook.zip 864 Bytes
[磁力链接] 添加时间:2018-10-08 大小:3.4 GB 最近下载:2025-10-26 热度:203

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

  • 42. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.0 MB
  • 42. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • 44. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
  • 43. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.7 MB
  • 41. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
  • 48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • 41. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 124.1 MB
  • 48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.8 MB
  • 1. Installations/5. Installing Anaconda Distribution for Linux.mp4 120.3 MB
  • 21. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
  • 46. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.2 MB
  • 27. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • 44. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
  • 48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.0 MB
  • 25. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.1 MB
  • 22. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
  • 25. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • 50. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
  • 14. 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:2023-12-17 大小:11.3 GB 最近下载:2025-10-26 热度:5694

[ DevCourseWeb.com ] Udemy - Real World Machine Learning Case Studies, Projects (Python).zip

  • [ DevCourseWeb.com ] Udemy - Real World Machine Learning Case Studies, Projects (Python).zip 2.2 GB
[磁力链接] 添加时间:2021-03-09 大小:2.2 GB 最近下载:2025-10-26 热度:679

[GigaCourse.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
  • 22. 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 86.2 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
  • 22. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 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 78.8 MB
[磁力链接] 添加时间:2024-04-13 大小:7.2 GB 最近下载:2025-10-26 热度:1177

Learning Python How to become an effective Python programmer

  • TutsGalaxy.com.txt 41 Bytes
  • Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
  • Read Me.txt 80 Bytes
  • Learning Python How to become an effective Python programmer.zip 2.2 GB
[磁力链接] 添加时间:2018-09-04 大小:2.2 GB 最近下载:2025-10-26 热度:3993

Deep Learning Recurrent Neural Networks with Python

  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB
[磁力链接] 添加时间:2022-01-10 大小:4.8 GB 最近下载:2025-10-26 热度:4283

deep-learning-prerequisites-linear-regression-in-python

  • 6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 1. Welcome/4. Anyone Can Succeed in this Course.mp4 88.1 MB
  • 7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
  • 1. Welcome/1. Welcome.mp4 52.1 MB
  • 6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 9. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • 3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
  • 8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
  • 2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • 7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • 4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • 2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
  • 2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
  • 8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.4 MB
  • 4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
[磁力链接] 添加时间:2025-07-23 大小:1.2 GB 最近下载:2025-10-26 热度:18

Udemy - Complete Machine Learning & Data Science with Python A-Z (4.2025)

  • 02. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 128.6 MB
  • 03. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 93.9 MB
  • 02. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 89.8 MB
  • 07. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp4 66.8 MB
  • 05. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 60.3 MB
  • 06. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 57.7 MB
  • 05. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm with Python Part 4.mp4 52.2 MB
  • 05. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp4 48.1 MB
  • 02. Installations for Python/2. Installing Anaconda Distribution for MacOs.mp4 48.0 MB
  • 03. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 47.2 MB
  • 07. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp4 46.9 MB
  • 05. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm with Python Part 3.mp4 41.7 MB
  • 07. Logistic Regression Algorithm in Machine Learning A-Z/6. Logistic Regression Algorithm with Python Part 5.mp4 41.3 MB
  • 17. Principal Component Analysis (PCA) in Machine Learning A-Z/1. Principal Component Analysis (PCA) Theory.mp4 39.8 MB
  • 13. Support Vector Machine Algorithm in Machine Learning A-Z/2. Support Vector Machine Algorithm with Python Part 1.mp4 34.9 MB
  • 09. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp4 31.6 MB
  • 10. Hyperparameter Optimization/1. Hyperparameter Optimization Theory.mp4 28.4 MB
  • 08. K-fold Cross-Validation in Machine Learning A-Z/2. K-Fold Cross-Validation with Python.mp4 28.2 MB
  • 11. Decision Tree Algorithm in Machine Learning A-Z/5. Decision Tree Algorithm with Python Part 4.mp4 26.3 MB
  • 16. Hierarchical Clustering Algorithm in machine learning data science/1. Hierarchical Clustering Algorithm Theory.mp4 26.2 MB
[磁力链接] 添加时间:2025-10-08 大小:1.6 GB 最近下载:2025-10-26 热度:34

Machine Learning A-Z AI, Python & R + ChatGPT Prize

  • 37 - Convolutional Neural Networks/010 dataset.zip 232.4 MB
  • 37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
  • 37 - Convolutional Neural Networks/016 Hands-on CNN Training Using Jupyter Notebook for Image Classification.mp4 76.3 MB
  • 41 - Kernel PCA/002 Implementing Kernel PCA for Non-Linear Data Step-by-Step Guide.mp4 72.2 MB
  • 43 - Model Selection/004 Optimizing SVM Models with GridSearchCV A Step-by-Step Python Tutorial.mp4 71.1 MB
  • 40 - Linear Discriminant Analysis (LDA)/003 Step-by-Step Guide Applying LDA for Feature Extraction in Machine Learning.mp4 68.1 MB
  • 43 - Model Selection/005 Evaluating ML Model Accuracy K-Fold Cross-Validation Implementation in R.mp4 65.9 MB
  • 20 - Naive Bayes/001 Understanding Bayes--' Theorem Intuitively From Probability to Machine Learning.mp4 65.6 MB
  • 29 - Apriori/008 Step 3 Optimizing Product Placement - Apriori Algorithm, Lift --& Confidence.mp4 65.2 MB
  • 29 - Apriori/006 Step 1 - Creating a Sparse Matrix for Association Rule Mining in R.mp4 64.2 MB
  • 29 - Apriori/005 Step 4 Visualizing Apriori Algorithm Results for Product Deals in Python.mp4 63.6 MB
  • 37 - Convolutional Neural Networks/007 Step 4 - Fully Connected Layers in CNNs Optimizing Feature Combination.mp4 62.6 MB
  • 33 - Thompson Sampling/008 Step 1 - Thompson Sampling vs UCB Optimizing Ad Click-Through Rates in R.mp4 61.5 MB
  • 33 - Thompson Sampling/001 Understanding Thompson Sampling Algorithm Intuition and Implementation.mp4 61.3 MB
  • 44 - XGBoost/003 XGBoost Tutorial Implementing Gradient Boosting for Classification Problems.mp4 60.3 MB
  • 36 - Artificial Neural Networks/011 Step 2 - TensorFlow 2.0 Tutorial Preprocessing Data for Customer Churn Model.mp4 60.1 MB
  • 37 - Convolutional Neural Networks/009 Deep Learning Essentials Understanding Softmax and Cross-Entropy in CNNs.mp4 59.2 MB
  • 29 - Apriori/001 Apriori Algorithm Uncovering Hidden Patterns in Data Mining Association Rules.mp4 58.8 MB
  • 32 - Upper Confidence Bound (UCB)/012 Step 3 Optimizing Ad Selection - UCB --& Multi-Armed Bandit Algorithm Explained.mp4 58.4 MB
  • 37 - Convolutional Neural Networks/013 Step 3 - TensorFlow CNN Convolution to Output Layer for Vision Tasks.mp4 57.9 MB
[磁力链接] 添加时间:2025-02-16 大小:8.7 GB 最近下载:2025-10-26 热度:3813

GetFreeCourses.Co-Udemy-Deep Learning Recurrent Neural Networks with Python

  • 07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
  • 09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
  • 11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
  • 02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
  • 06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
  • 03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
  • 03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
  • 04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
  • 11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
  • 10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
  • 10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
  • 07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
  • 10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
  • 05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
  • 03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
  • 12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
  • 11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
  • 03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
  • 02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
  • 04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB
[磁力链接] 添加时间:2022-01-29 大小:4.7 GB 最近下载:2025-10-26 热度:1821

[FreeAllCourse.Com] Udemy- The Complete Machine Learning Course with Python

  • 6. Tree/6. Project HR.mp4 186.5 MB
  • 7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
  • 12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
  • 3. Regression/2. EDA.mp4 159.0 MB
  • 11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
  • 11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
  • 3. Regression/15. Data Preprocessing.mp4 142.1 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
  • 3. Regression/19. CV Illustration.mp4 133.4 MB
  • 10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
  • 3. Regression/9. Multiple Regression 1.mp4 131.6 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
  • 4. Classification/1. Logistic Regression.mp4 125.4 MB
  • 3. Regression/7. Robust Regression.mp4 124.8 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
  • 3. Regression/12. Polynomial Regression.mp4 116.2 MB
  • 4. Classification/3. Understanding MNIST.mp4 114.3 MB
  • 3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
  • 4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB
[磁力链接] 添加时间:2021-04-23 大小:7.3 GB 最近下载:2025-10-26 热度:1172

Machine Learning i język Python. Kurs video. Praktyczne wykorzystanie popularnych bibliotek - Videopoint.pl.zip

  • Machine Learning i język Python. Kurs video. Praktyczne wykorzystanie popularnych bibliotek - Videopoint.pl.zip 3.0 GB
[磁力链接] 添加时间:2023-12-17 大小:3.0 GB 最近下载:2025-10-26 热度:776

[GigaCourse.Com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 - Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
  • 22 - Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
  • 19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
  • 19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 205.2 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 201.9 MB
  • 07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 195.8 MB
  • 19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
  • 09 - Regularization/004 Dropout regularization in practice.mp4 192.1 MB
  • 16 - Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
  • 18 - Convolution and transformations/003 Convolution in code.mp4 181.5 MB
  • 08 - Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
  • 23 - Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
  • 07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
  • 12 - More on data/003 CodeChallenge unbalanced data.mp4 174.3 MB
  • 11 - FFNs (Feed-Forward Networks)/003 FFN to classify digits.mp4 169.7 MB
  • 16 - Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 167.9 MB
  • 07 - ANNs (Artificial Neural Networks)/018 Model depth vs. breadth.mp4 166.6 MB
  • 12 - More on data/007 Data feature augmentation.mp4 166.0 MB
[磁力链接] 添加时间:2022-02-03 大小:23.6 GB 最近下载:2025-10-26 热度:4349

[FreeCourseSite.com] Udemy - Master Computer Vision™ OpenCV3 in Python & Machine Learning

  • 1. Course Introduction and Setup/7.1 MasteringComputerVision_V1.03.zip.zip 133.7 MB
  • 8. Machine Learning in Computer Vision/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
  • 5. Object Detection - Use Computer VIsion To Detect Objects In An Image/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp4 45.5 MB
  • 8. Machine Learning in Computer Vision/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.mp4 33.5 MB
  • 2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 32.1 MB
  • 7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/4. Mini Project 8 - Yawn Detector and Counter.mp4 31.4 MB
  • 4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/2. Sorting Contours - Sort Those Shapes By Size.mp4 31.2 MB
  • 9. Motion Analysis and Object Tracking/2. Background Subtraction and Foreground Subtraction.mp4 31.0 MB
  • 7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.mp4 30.1 MB
  • 7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp4 29.7 MB
  • 5. Object Detection - Use Computer VIsion To Detect Objects In An Image/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.mp4 26.7 MB
  • 6. Face, People and Car Detection/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 26.2 MB
  • 1. Course Introduction and Setup/4. Installation of OpenCV & Python (Windows).mp4 25.1 MB
  • 2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 24.8 MB
  • 4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 23.5 MB
  • 5. Object Detection - Use Computer VIsion To Detect Objects In An Image/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 20.9 MB
  • 9. Motion Analysis and Object Tracking/5. Optical Flow - Track Moving Objects In Videos.mp4 20.8 MB
  • 9. Motion Analysis and Object Tracking/1. Filtering by Color.mp4 19.6 MB
  • 4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 18.5 MB
  • 3. Image Manipulations - The Many Ways You Can Change Images/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 18.5 MB
[磁力链接] 添加时间:2021-03-24 大小:1.1 GB 最近下载:2025-10-26 热度:1027

Linkedin Learning Machine Learning With Python-Logistic Regression

  • 4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.mp4 39.8 MB
  • 4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.mp4 29.9 MB
  • 1. Introduction/4. Using GitHub Codespaces with this course.mp4 22.8 MB
  • 4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.mp4 22.0 MB
  • 4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.mp4 18.7 MB
  • 2. Regression/3. Common types of regression.mp4 14.9 MB
  • 3. Logistic Regression/3. Interpreting the coefficients of logistic regression.mp4 14.8 MB
  • 3. Logistic Regression/2. Making predictions with logistic regression.mp4 14.1 MB
  • 3. Logistic Regression/1. What is logistic regression.mp4 11.6 MB
  • 2. Regression/1. What is regression.mp4 9.8 MB
  • 2. Regression/2. The anatomy of a regression model.mp4 9.8 MB
  • 1. Introduction/3. Using the exercise files.mp4 5.2 MB
  • 3. Logistic Regression/4. Why and when to use logistic regression.mp4 4.8 MB
  • 5. Conclusion/1. Next steps.mp4 4.4 MB
  • 1. Introduction/1. Classifying data with logistic regression.mp4 4.4 MB
  • 1. Introduction/2. What you should know.mp4 2.9 MB
  • 4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.srt 17.5 kB
  • 4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.srt 11.8 kB
  • 3. Logistic Regression/3. Interpreting the coefficients of logistic regression.srt 10.0 kB
  • 1. Introduction/4. Using GitHub Codespaces with this course.srt 9.1 kB
[磁力链接] 添加时间:2024-08-24 大小:230.1 MB 最近下载:2025-10-26 热度:3217

[DesireCourse.Com] Udemy - Data Science, Deep Learning and Machine Learning with Python

  • [DesireCourse.Com] Data Science, Deep Learning and Machine Learning with Python.zip 4.0 GB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-11-19 大小:4.0 GB 最近下载:2025-10-26 热度:2109

Algorithmic Trading A-Z with Python and Machine Learning

  • Algorithmic Trading A-Z with Python and Machine Learning.zip 10.7 GB
  • [TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
  • TutsNode.com.txt 63 Bytes
[磁力链接] 添加时间:2021-03-13 大小:10.7 GB 最近下载:2025-10-26 热度:16014

Python 3 Bootcamp Deep learning into Python 3 with GUIs

  • TutsGalaxy.com.txt 41 Bytes
  • Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
  • Read Me.txt 80 Bytes
  • Python 3 Bootcamp Deep learning into Python 3 with GUIs.zip 4.2 GB
[磁力链接] 添加时间:2018-09-08 大小:4.2 GB 最近下载:2025-10-26 热度:4449


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