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[ DevCourseWeb.com ] Udemy - Modern Computer Vision and Deep Learning with Python and PyTorch

  • ~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/1. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4 208.6 MB
  • ~Get Your Files Here !/23. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/1. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.mp4 187.5 MB
  • ~Get Your Files Here !/18. Detectron2 for Ojbect Detection/1. Detectron2 for Ojbect Detection with PyTorch.mp4 173.4 MB
  • ~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/3. Data Loading with PyTorch Customized Dataset Class.mp4 167.4 MB
  • ~Get Your Files Here !/19. Training, Evaluating and Visualizing Object Detection on Custom Dataset/3. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.mp4 162.4 MB
  • ~Get Your Files Here !/8. Semantic Segmentation Task Of Computer Vision/2. Semantic Segmentation Real-World Applications.mp4 153.6 MB
  • ~Get Your Files Here !/18. Detectron2 for Ojbect Detection/2. Perform Object Detection using Detectron2 Pretrained Models.mp4 144.2 MB
  • ~Get Your Files Here !/14. Test Models and Visualize Segmentation Results/1. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4 122.1 MB
  • ~Get Your Files Here !/2. What is Computer Vision & its Applications/1. Introduction to Computer Vision and its Real-world Applications.mp4 117.9 MB
  • ~Get Your Files Here !/19. Training, Evaluating and Visualizing Object Detection on Custom Dataset/1. Custom Dataset for Object Detection.mp4 108.0 MB
  • ~Get Your Files Here !/14. Test Models and Visualize Segmentation Results/3. Visualize Segmentation Results and Generate RGB Segmented Map.mp4 102.6 MB
  • ~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/5. Training of Segmentation Models.mp4 80.1 MB
  • ~Get Your Files Here !/12. Encoders and Decoders For Segmentation In PyTorch/3. Decoders for Segmentation in PyTorch Liberary.mp4 77.4 MB
  • ~Get Your Files Here !/11. Performance Metrics (IOU) For Segmentation Models Evaluation/1. Performance Metrics (IOU, Pixel Accuracy, Precision, Recall, Fscore).mp4 74.7 MB
  • ~Get Your Files Here !/7. Transfer Learning for Image Classification/4. FineTuning Deep ResNet Model.mp4 73.2 MB
  • ~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/5. Data Augmentation using Albumentations with Different Transformations.mp4 71.4 MB
  • ~Get Your Files Here !/6. Pretrained Models for Single and Multi-Label Image Classification/5. Single-Label Image Classification using ResNet and AlexNet PreTrained Models.mp4 64.7 MB
  • ~Get Your Files Here !/17. Deep Learning Architectures for Object Detection (R-CNN Family)/2. RCNN Deep Learning Architectures for Object Detection.mp4 62.7 MB
  • ~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/2. Data Annotations Tool for Semantic Segmentation.mp4 62.3 MB
  • ~Get Your Files Here !/16. Object Detection Task Of Computer Vision/1. Object Detection and its Applications.mp4 61.6 MB
[磁力链接] 添加时间:2024-02-01 大小:3.8 GB 最近下载:2025-10-26 热度:7665

[DownTuts.Com] 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:2024-02-01 大小:4.7 GB 最近下载:2025-09-29 热度:426

[ DevCourseWeb.com ] Udemy - Machine Deep Learning for Biology with Python and Tensorflow

  • ~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 234.1 MB
  • ~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 175.2 MB
  • ~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 169.3 MB
  • ~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 137.0 MB
  • ~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 123.8 MB
  • ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 123.2 MB
  • ~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 115.1 MB
  • ~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 111.6 MB
  • ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.mp4 109.1 MB
  • ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 108.0 MB
  • ~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 91.5 MB
  • ~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 90.6 MB
  • ~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 87.8 MB
  • ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 87.1 MB
  • ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 84.3 MB
  • ~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 82.4 MB
  • ~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 82.3 MB
  • ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.mp4 81.3 MB
  • ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 78.6 MB
  • ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 76.6 MB
[磁力链接] 添加时间:2024-02-01 大小:4.4 GB 最近下载:2025-10-27 热度:2402

Machine Learning & Deep Learning in Python & R

  • 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
  • 23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
  • 27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
  • 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
[磁力链接] 添加时间:2024-01-30 大小:14.1 GB 最近下载:2025-10-24 热度:1660

[FreeCourseLab.com] Udemy - Machine Learning & Deep Learning in Python & R

  • 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
  • 23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
  • 27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
  • 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
[磁力链接] 添加时间:2024-01-27 大小:14.1 GB 最近下载:2025-10-25 热度:1301

[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

[Udemy] Practical AI with Python and Reinforcement Learning (07.2021)

  • 11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
  • 10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
  • 07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
  • 07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
  • 10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
  • 07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
  • 07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
  • 04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
  • 06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
  • 07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
  • 03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
  • 11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
  • 11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
  • 12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
  • 08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
  • 02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
  • 07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
  • 06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4 101.4 MB
  • 04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4 100.9 MB
[磁力链接] 添加时间:2024-01-22 大小:7.9 GB 最近下载:2025-10-20 热度:1261

[FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • [FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp.part1.rar 3.2 GB
  • [FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp.part2.rar 1.3 GB
[磁力链接] 添加时间:2024-01-21 大小:4.5 GB 最近下载:2025-10-21 热度:8903

[ DevCourseWeb.com ] Udemy - Learn Data Mining and Machine Learning with Python

  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/024 Create Multiple Linear Regression Model in Python-Part 3.mp4 96.6 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/022 Calculate Confidence Interval in Excel.mp4 82.5 MB
  • ~Get Your Files Here !/02 - Setup Programming Environment/006 Introduction to Pandas Library.mp4 69.3 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/037 Create Logistic Regression Model in Python-Part 1.mp4 66.1 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/025 Create Multiple Linear Regression Model in Python-Part 4.mp4 64.7 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/005 Create Hierarchical Clustering Algorithm in Python-1.mp4 63.7 MB
  • ~Get Your Files Here !/05 - Deep Learning/008 Create Artificial Neural Network Model in Python Part-2.mp4 63.2 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/029 Create Polynomial Regression Model in Python-Part 2.mp4 60.4 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/015 Create Simple Linear Regression Model in Python-Part 5.mp4 59.7 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/006 Create Hierarchical Clustering Algorithm in Python-2.mp4 58.8 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/009 Create K-means Clustering Algorithm Model in Python - 1.mp4 57.7 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/011 Association Rules (Market Basket Analysis).mp4 54.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/040 Create KNN Model in Python.mp4 54.5 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/023 Create Multiple Linear Regression Model in Python-Part 2.mp4 53.5 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/008 Using Elbow Method to Determine Optimal Number of Clusters.mp4 51.2 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/028 Create Polynomial Regression Model in Python-Part 1.mp4 51.2 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/042 Create Support Vector Machine in Python.mp4 48.1 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/038 Create Logistic Regression Model in Python-Part 2.mp4 46.9 MB
  • ~Get Your Files Here !/05 - Deep Learning/004 Activation Functions.mp4 45.2 MB
  • ~Get Your Files Here !/05 - Deep Learning/007 Create Artificial Neural Network Model in Python Part-1.mp4 45.1 MB
[磁力链接] 添加时间:2024-01-18 大小:3.4 GB 最近下载:2025-10-27 热度:2739

[FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing

  • 8 - Setting Up Your Environment FAQ by Student Request/68 - Anaconda Environment Setup.mp4 323.2 MB
  • 8 - Setting Up Your Environment FAQ by Student Request/69 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.8 MB
  • 10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/77 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
  • 10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/76 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 124.1 MB
  • 9 - Extra Help With Python Coding for Beginners FAQ by Student Request/72 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
  • 9 - Extra Help With Python Coding for Beginners FAQ by Student Request/70 - How to Code by Yourself part 1.mp4 97.5 MB
  • 4 - Traditional AB Testing/33 - ZTest Code pt 1.mp4 87.4 MB
  • 11 - Appendix FAQ Finale/79 - BONUS.mp4 63.8 MB
  • 10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/75 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 62.4 MB
  • 5 - Bayesian AB Testing/55 - Thompson Sampling With Gaussian Reward Theory.mp4 56.1 MB
  • 7 - Practice Makes Perfect/67 - The most important quiz of all Obtaining an infinite amount of practice.mp4 54.6 MB
  • 5 - Bayesian AB Testing/38 - Applications of the ExploreExploit Dilemma.mp4 49.3 MB
  • 5 - Bayesian AB Testing/52 - Bayesian Bandits Thompson Sampling Theory pt 2.mp4 44.0 MB
  • 3 - Bayes Rule and Probability Review/19 - Suggestion Box.mp4 41.7 MB
  • 5 - Bayesian AB Testing/56 - Thompson Sampling With Gaussian Reward Code.mp4 36.6 MB
  • 1 - Introduction and Outline/2 - Where to get the code for this course.mp4 36.4 MB
  • 4 - Traditional AB Testing/34 - ZTest Code pt 2.mp4 35.5 MB
  • 5 - Bayesian AB Testing/61 - Optional Alternative Bandit Designs.mp4 35.3 MB
  • 3 - Bayes Rule and Probability Review/16 - Probability Review in Code.mp4 34.1 MB
  • 5 - Bayesian AB Testing/48 - UCB1 Theory.mp4 33.6 MB
[磁力链接] 添加时间:2024-01-16 大小:2.8 GB 最近下载:2025-06-15 热度:58

2023 Python for Machine Learning A Step-by-Step Guide

  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/1. Introduction/1.1 python-for-ml-and-ds-projects.zip 286.0 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/10. Logistic Regression/14. Feature Selection - Recursive Feature Elimination.mp4 147.7 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/17. K-Means Clustering/11. Decision Boundary Visualization.mp4 146.7 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/17. K-Means Clustering/12. Putting Everything Together.mp4 122.9 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/11. Support Vector Machine/6. Cancer Data Visualization Part 2.mp4 120.1 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/21. Introduction to Deep Learning/12. Data Visualization Part 2.mp4 112.5 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/20. PCA/7. Data Reconstruction.mp4 109.9 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/1. Introduction/5. Jupyter Notebook Introduction and Keyboard Shortcuts.mp4 108.0 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/10. Logistic Regression/8. Missing Age Imputation Part 2.mp4 94.8 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/16. Boosting Algorithms/2. Heart-Disease Dataset Understanding.mp4 88.3 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/8. Data Visualization with Plotly/4. Stacked Bar Plot.mp4 85.6 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/7. Data Visualization in Pandas/11. Pie Chart.mp4 85.3 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/9. Linear Regression/10. Exploratory Data Analysis- Pair Plot.mp4 85.0 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/12. Cross Validation and Hyperparameter Tuning/11. Grid Search Hypyerparameter Tuning.mp4 84.7 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/21. Introduction to Deep Learning/5. What is Back Propagation.mp4 83.3 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/8. Data Visualization with Plotly/7. Hist Plot, Bubble Plot and Heatmap.mp4 82.5 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/7. Data Visualization in Pandas/7. Histogram.mp4 82.2 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/10. Logistic Regression/18. ROC Curve and AUC Part 1.mp4 82.1 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/17. K-Means Clustering/10. Clusters Visualization.mp4 82.0 MB
  • [TutsNode.net] - 2023 Python for Machine Learning A Step-by-Step Guide/16. Boosting Algorithms/10. CatBoost Hyperparameter Optimization.mp4 80.5 MB
[磁力链接] 添加时间:2024-01-16 大小:13.7 GB 最近下载:2025-10-23 热度:2347

[GigaCourse.Com] Udemy - Bayesian Machine Learning in Python A

  • 08 Setting Up Your Environment (FAQ by Student Request)/067 Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/071 Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 05 Bayesian A_B Testing/052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).mp4 78.5 MB
  • 04 Traditional A_B Testing/033 Z-Test Code (pt 1).mp4 71.2 MB
  • 05 Bayesian A_B Testing/051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).mp4 58.9 MB
  • 05 Bayesian A_B Testing/048 UCB1 Theory.mp4 58.5 MB
  • 02 The High-Level Picture/005 What is Bayesian Machine Learning_.mp4 57.3 MB
  • 03 Bayes Rule and Probability Review/016 Probability Review in Code.mp4 57.0 MB
  • 05 Bayesian A_B Testing/037 Section Introduction_ The Explore-Exploit Dilemma.mp4 54.8 MB
  • 05 Bayesian A_B Testing/060 (Optional) Alternative Bandit Designs.mp4 54.5 MB
  • 04 Traditional A_B Testing/028 Hypothesis Testing - The API Approach.mp4 50.5 MB
  • 07 Practice Makes Perfect/066 The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
  • 05 Bayesian A_B Testing/038 Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
  • 05 Bayesian A_B Testing/055 Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
  • 04 Traditional A_B Testing/036 Classical A_B Testing Section Summary.mp4 48.5 MB
  • 05 Bayesian A_B Testing/044 Comparing Different Epsilons.mp4 46.1 MB
  • 08 Setting Up Your Environment (FAQ by Student Request)/068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 01 Introduction and Outline/003 How to succeed in this course.mp4 45.9 MB
  • 03 Bayes Rule and Probability Review/011 Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
  • 06 Bayesian A_B Testing Extension/061 More about the Explore-Exploit Dilemma.mp4 45.9 MB
[磁力链接] 添加时间:2024-01-15 大小:2.8 GB 最近下载:2025-09-29 热度:1562

2022 Python for Machine Learning & Data Science Masterclass

  • 23 - Hierarchical Clustering/210 - Hierarchical Clustering Coding Part Two ScikitLearn.mp4 331.0 MB
  • 5 - Pandas/46 - Pandas Project Exercise Solutions.mp4 300.7 MB
  • 13 - Logistic Regression/137 - Logistic Regression Project Exercise Solutions.mp4 276.4 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/75 - Capstone Project Solutions Part Three.mp4 229.4 MB
  • 17 - Random Forests/168 - Coding Classification with Random Forest Classifier Part Two.mp4 216.2 MB
  • 24 - DBSCAN Densitybased spatial clustering of applications with noise/217 - DBSCAN Outlier Project Exercise Solutions.mp4 206.8 MB
  • 25 - PCA Principal Component Analysis and Manifold Learning/224 - PCA Project Exercise Solution.mp4 202.1 MB
  • 11 - Feature Engineering and Data Preparation/111 - Dealing with Missing Data Part Two Filling or Dropping data based on Rows.mp4 195.0 MB
  • 16 - Tree Based Methods Decision Tree Learning/161 - Coding Decision Trees Part Two Creating the Model.mp4 191.2 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/73 - Capstone Project Solutions Part One.mp4 187.8 MB
  • 19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/183 - Solution Walkthrough Supervised Learning Project Tree Models.mp4 183.2 MB
  • 7 - Seaborn Data Visualizations/59 - Scatterplots with Seaborn.mp4 182.8 MB
  • 7 - Seaborn Data Visualizations/71 - Seaborn Plot Exercises Solutions.mp4 180.3 MB
  • 14 - KNN K Nearest Neighbors/143 - KNN Classification Project Exercise Solutions.mp4 178.6 MB
  • 19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/181 - Solution Walkthrough Supervised Learning Project Data and EDA.mp4 177.2 MB
  • 26 - Model Deployment/227 - Model Persistence.mp4 175.7 MB
  • 5 - Pandas/41 - Pandas Input and Output HTML Tables.mp4 175.6 MB
  • 13 - Logistic Regression/135 - MultiClass Classification with Logistic Regression Part Two Model.mp4 175.4 MB
  • 11 - Feature Engineering and Data Preparation/112 - Dealing with Missing Data Part 3 Fixing data based on Columns.mp4 163.1 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/74 - Capstone Project Solutions Part Two.mp4 161.9 MB
[磁力链接] 添加时间:2024-01-12 大小:17.5 GB 最近下载:2025-10-07 热度:2811

Machine Learning and Data Science Hands-on with Python and R

  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/7. Machine Learning Project #5 - Fraud Detection in Credit Payments/10. VRS.mp4 112.7 MB
[磁力链接] 添加时间:2024-01-07 大小:32.4 GB 最近下载:2025-09-30 热度:2238

[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs

  • ~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4 72.5 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4 66.7 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4 66.4 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4 65.6 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4 57.2 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4 57.0 MB
  • ~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4 52.4 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4 52.3 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4 52.2 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4 44.6 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4 43.3 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4 40.6 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4 40.0 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4 38.4 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4 38.2 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4 38.1 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4 36.8 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4 35.3 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4 34.0 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 33.9 MB
[磁力链接] 添加时间:2024-01-06 大小:1.7 GB 最近下载:2025-09-30 热度:959

[ FreeCourseWeb.com ] Udemy - Applied Advanced Machine Learning In Python

  • ~Get Your Files Here !/01 - Introduction/003 Introduction Me.mp4 631.1 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/004 XG Boost-Hands On Tutorial-Part 2.mp4 272.4 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/003 XGBoost-Hands On Tutorial.mp4 258.4 MB
  • ~Get Your Files Here !/04 - AddaBoost Machine Learning Algorithm/002 AddaBoost-Hands On Tutorial.mp4 208.6 MB
  • ~Get Your Files Here !/01 - Introduction/001 Everything You Should Know About Machine Learning.mp4 207.8 MB
  • ~Get Your Files Here !/03 - Gradient Booting Machine Learning Algorithm/002 GBM ML Algorithms-Hands On Tutorial.mp4 205.2 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/002 XGBoost Working Principle.mp4 171.7 MB
  • ~Get Your Files Here !/01 - Introduction/002 Mindset To Use machine Learning.mp4 170.1 MB
  • ~Get Your Files Here !/03 - Gradient Booting Machine Learning Algorithm/001 GBM ML Algorithms-Fundamentals.mp4 166.9 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/001 XGBoost Fundamentals.mp4 152.0 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/005 XGBoost-Hands On Tutorial-Part 3.mp4 137.6 MB
  • ~Get Your Files Here !/04 - AddaBoost Machine Learning Algorithm/001 AddaBoost ML.mp4 68.5 MB
  • ~Get Your Files Here !/02 - Approach To Machine Learning Model Building/001 General Approach To Machine Learning Model Building.mp4 54.7 MB
  • ~Get Your Files Here !/03 - Gradient Booting Machine Learning Algorithm/002 Tutorial-on-GBM-Algorithm.ipynb 1.8 MB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/003 Tutorial-on-XGBoost-Algorithm-with-Python.ipynb 437.7 kB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/004 Tutorial-on-XGBoost-Algorithm-with-Python.ipynb 437.7 kB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/005 Tutorial-on-XGBoost-Algorithm-with-Python.ipynb 437.7 kB
  • ~Get Your Files Here !/01 - Introduction/003 Introduction Me_en.vtt 52.1 kB
  • ~Get Your Files Here !/04 - AddaBoost Machine Learning Algorithm/002 Tutorial-on-AdaBoost-In-details-with-Python.ipynb 50.7 kB
  • ~Get Your Files Here !/05 - Extreme Gradient Boosting Technique/004 XG Boost-Hands On Tutorial-Part 2_en.vtt 24.3 kB
[磁力链接] 添加时间:2024-01-06 大小:2.7 GB 最近下载:2025-10-20 热度:984

GetFreeCourses.Co-Udemy-Machine Learning Natural Language Processing in Python (V2)

  • 02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 131.0 MB
  • 08 - Spam Detection/006 Spam Detection in Python.mp4 112.8 MB
  • 06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 110.3 MB
  • 02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4 106.9 MB
  • 05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 100.6 MB
  • 02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4 79.0 MB
  • 02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp4 78.5 MB
  • 02 - Vector Models and Text Preprocessing/006 Tokenization.mp4 77.1 MB
  • 01 - Introduction/001 Introduction and Outline.mp4 76.5 MB
  • 04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp4 75.7 MB
  • 02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp4 70.1 MB
  • 06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp4 68.7 MB
  • 09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp4 66.7 MB
  • 01 - Introduction/002 Where to get the Code.mp4 66.0 MB
  • 04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp4 65.9 MB
  • 08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 63.1 MB
  • 02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp4 61.4 MB
  • 02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp4 60.7 MB
  • 04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp4 60.5 MB
[磁力链接] 添加时间:2024-01-03 大小:3.1 GB 最近下载:2025-10-24 热度:1980

[UdemyCourseDownloader] Complete Guide to TensorFlow for Deep Learning with Python

  • 01. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
  • 01. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
  • 06. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
  • 07. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
  • 10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
  • 05. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
  • 09. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
  • 10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
  • 11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
  • 08. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
  • 08. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
  • 07. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
  • 08. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
  • 08. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
  • 09. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
  • 11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.4 MB
  • 06. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
  • 04. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
  • 06. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
  • 03. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB
[磁力链接] 添加时间:2024-01-02 大小:2.4 GB 最近下载:2025-09-05 热度:678

[FreeCourseSite.com] Udemy - Complete Python Data Science, Deep Learning, R Programming

  • 27. Data Transformation in R/3. Filtering Rows with Filter Function in R programming.mp4 177.9 MB
  • 18. Projects Python projects, Data science projects, machine learning/2. Project - 2.mp4 177.5 MB
  • 11. Geoplotlib/3.1 world_cities_pop.csv 164.3 MB
  • 12. Data Science Hands-On Projects/6. Answer for Housing and Property Sales Project.mp4 162.6 MB
  • 12. Data Science Hands-On Projects/8. Answers for English Premier League Project.mp4 161.0 MB
  • 13. Machine Learning/15. Choosing the right algorithm and model in deep learning.mp4 156.1 MB
  • 27. Data Transformation in R/6. Grouped Summaries with Summarize Function in R.mp4 155.8 MB
  • 12. Data Science Hands-On Projects/4. Bike Sharing Project Answers.mp4 154.4 MB
  • 25. Data Frames/3. Manipulating Values in DF.mp4 152.3 MB
  • 20. Data Management in R/3. Graphs and Charts in Python data science.mp4 146.6 MB
  • 26. Factors in R/2. Manipulating Categorical Data with Forcats in R.mp4 139.2 MB
  • 27. Data Transformation in R/4. Arranging Rows with Arrange Function in R.mp4 135.6 MB
  • 9. Matplotlib/8. Basic Plots in Matplotlib I.mp4 109.5 MB
  • 8. Data Frame with Pandas/9. Combining Data Frames in Pandas.mp4 108.6 MB
  • 18. Projects Python projects, Data science projects, machine learning/1. Project - 1.mp4 106.5 MB
  • 10. Seaborn/5. Basic Plots in Seaborn.mp4 97.3 MB
  • 12. Data Science Hands-On Projects/2. Titanic Project Answers in python projects.mp4 93.3 MB
  • 13. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 92.2 MB
  • 17. Transfer Learning/1. What is Transfer Learning.mp4 89.5 MB
  • 8. Data Frame with Pandas/10. Combining Data Frames Part – II.mp4 88.3 MB
[磁力链接] 添加时间:2024-01-02 大小:7.6 GB 最近下载:2025-10-27 热度:8445

[ FreeCourseWeb.com ] Udemy - Learning Data Structures & Algorithms in Python from Scratch.zip

  • [ FreeCourseWeb.com ] Udemy - Learning Data Structures & Algorithms in Python from Scratch.zip 1.9 GB
[磁力链接] 添加时间:2024-01-02 大小:1.9 GB 最近下载:2025-10-06 热度:332


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