learning python -移花宫 -武林禁地，闲人禁止入内

[ DevCourseWeb.com ] Udemy - Data Science with Machine Learning Algorithm using Python.zip

[ DevCourseWeb.com ] Udemy - Data Science with Machine Learning Algorithm using Python.zip 4.0 GB

[磁力链接] 添加时间:2021-03-10 大小:4.0 GB 最近下载:2025-10-24 热度:1680

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

[FreeCourseSite.com] Udemy - 2022 Python for Machine Learning & Data Science Masterclass

23 - Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 219.4 MB
05 - Pandas/028 Pandas Project Exercise Solutions.mp4 180.9 MB
13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 169.1 MB
08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 144.1 MB
17 - Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
19 - Supervised Learning Capstone Project/003 Solution Walkthrough - Supervised Learning Project - Cohort Analysis.mp4 136.5 MB
05 - Pandas/026 Pandas Pivot Tables.mp4 135.4 MB
24 - DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.1 MB
25 - PCA - Principal Component Analysis and Manifold Learning/007 PCA - Project Exercise Solution.mp4 125.3 MB
11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
16 - Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.4 MB
23 - Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.6 MB
19 - Supervised Learning Capstone Project/004 Solution Walkthrough - Supervised Learning Project - Tree Models.mp4 119.8 MB
07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.7 MB
08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4 116.0 MB
26 - Model Deployment/003 Model Persistence.mp4 115.1 MB
24 - DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
22 - K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.5 MB
08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.3 MB
19 - Supervised Learning Capstone Project/002 Solution Walkthrough - Supervised Learning Project - Data and EDA.mp4 111.3 MB

[磁力链接] 添加时间:2024-03-01 大小:12.3 GB 最近下载:2025-10-26 热度:1658

[GigaCourse.Com] Udemy - Neural Networks in Python Deep Learning for Beginners

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

[磁力链接] 添加时间:2022-02-04 大小:3.3 GB 最近下载:2025-10-24 热度:1621

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

~Get Your Files Here !/Chapter 9 Transfer Learning/005. Project in TensorFlow.mp4 156.9 MB
~Get Your Files Here !/Chapter 12 Neural Style Transfer/001. Problem Setup.mp4 118.3 MB
~Get Your Files Here !/Chapter 7 Introduction to TensorFlow/003. FashionMNIST Example CNN.mp4 99.9 MB
~Get Your Files Here !/Chapter 7 Introduction to TensorFlow/002. FashionMNIST Example Plan Neural Network.mp4 93.7 MB
~Get Your Files Here !/Chapter 1 Introduction to the Course/003. Why CNN.mp4 86.9 MB
~Get Your Files Here !/Chapter 6 Gradient Descent in CNNs/020. Implementation in NumPy BackwardPass 5.mp4 84.8 MB
~Get Your Files Here !/Chapter 11 Face Verification/002. Project Implementation.mp4 75.0 MB
~Get Your Files Here !/Chapter 5 Deep Neural Network Architecture/010. NonVectorized Implementations of Conv2d and Pool2d.mp4 72.6 MB
~Get Your Files Here !/Chapter 2 Image Processing/026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4 68.2 MB
~Get Your Files Here !/Chapter 3 Object Detection/007. Shift Scale Rotation Invariance Exercise.mp4 61.5 MB
~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/033. Rprop and Momentum.mp4 60.8 MB
~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/037. DropOut, Early Stopping and Hyperparameters.mp4 53.6 MB
~Get Your Files Here !/Chapter 6 Gradient Descent in CNNs/019. Implementation in NumPy BackwardPass 4.mp4 52.0 MB
~Get Your Files Here !/Chapter 1 Introduction to the Course/001. Course Overview.mp4 51.2 MB
~Get Your Files Here !/Chapter 3 Object Detection/006. Shift Scale Rotation Invariance.mp4 49.3 MB
~Get Your Files Here !/Chapter 2 Image Processing/016. Image Blurring 1.mp4 47.8 MB
~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/028. Weight Initialization.mp4 47.2 MB
~Get Your Files Here !/Chapter 2 Image Processing/030. Image Processing Activity Solution.mp4 46.7 MB
~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/001. Neuron and Perceptron.mp4 46.7 MB
~Get Your Files Here !/Chapter 3 Object Detection/002. Classification Pipeline.mp4 46.0 MB

[磁力链接] 添加时间:2024-03-24 大小:4.1 GB 最近下载:2025-10-27 热度:1619

[ FreeCourseWeb.com ] Udemy - Python for Machine Learning bootcamp.zip

[ FreeCourseWeb.com ] Udemy - Python for Machine Learning bootcamp.zip 8.5 GB

[磁力链接] 添加时间:2021-04-26 大小:8.5 GB 最近下载:2025-10-24 热度:1610

[Tutorialsplanet.NET] Udemy - 2019 AWS SageMaker and Machine Learning - With Python

10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 133.4 MB
8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4 107.2 MB
5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 104.5 MB
5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 101.8 MB
5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4 100.8 MB
7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4 95.1 MB
8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4 93.8 MB
3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4 89.7 MB
9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4 88.2 MB
5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 85.8 MB
3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4 85.7 MB
8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4 81.0 MB
9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4 80.7 MB
8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4 77.8 MB
5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4 76.1 MB
3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 73.6 MB
7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4 72.3 MB

[磁力链接] 添加时间:2021-04-12 大小:4.9 GB 最近下载:2025-10-26 热度:1599

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

27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.3 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

[磁力链接] 添加时间:2021-05-21 大小:14.2 GB 最近下载:2025-07-13 热度:1586

[FreeCourseLab.com] Udemy - Zero to Deep Learning™ with Python and Keras

1. Welcome to the course!/5. Installation Video Guide.mp4 64.1 MB
3. Machine Learning/22. Exercise 2 solution.mp4 45.3 MB
3. Machine Learning/8. Linear Regression code along.mp4 41.8 MB
3. Machine Learning/1. Section 3 Intro.mp4 40.9 MB
3. Machine Learning/20. Exercise 1 solution.mp4 39.1 MB
6. Convolutional Neural Networks/1. Section 6 Intro.mp4 37.2 MB
4. Deep Learning Intro/7. Multiclass classification code along.mp4 35.6 MB
1. Welcome to the course!/2. Introduction.mp4 35.5 MB
5. Gradient Descent/10. Learning Rate code along.mp4 34.8 MB
1. Welcome to the course!/8. Your first deep learning model.mp4 34.5 MB
2. Data/5. Plotting with Matplotlib.mp4 34.4 MB
5. Gradient Descent/17. Inner Layers Visualization code along.mp4 33.8 MB
2. Data/3. Data exploration with Pandas code along.mp4 32.4 MB
4. Deep Learning Intro/1. Section 4 Intro.mp4 32.4 MB
5. Gradient Descent/1. Section 5 Intro.mp4 32.3 MB
1. Welcome to the course!/1. Welcome to the course!.mp4 28.7 MB
9. Improving performance/14. Movies Reviews Sentiment Analysis code along.mp4 28.0 MB
1. Welcome to the course!/4. Download and install Anaconda.mp4 26.8 MB
4. Deep Learning Intro/13. Exercise 2 Solution.mp4 26.4 MB
4. Deep Learning Intro/11. Exercise 1 Solution.mp4 26.0 MB

[磁力链接] 添加时间:2022-04-06 大小:2.0 GB 最近下载:2025-10-24 热度:1578

Master Computer Vision™ OpenCV4 in Python with Deep Learning- [UdemyCourseDownloader]

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:2022-01-16 大小:4.2 GB 最近下载:2025-10-24 热度:1576

[GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
8. Appendix/10. Is Theano Dead.mp4 18.7 MB
8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB

[磁力链接] 添加时间:2021-05-04 大小:1.1 GB 最近下载:2025-10-25 热度:1572

[FreeTutorials.Us] data-science-supervised-machine-learning-in-python

01 Introduction and Review/001 Introduction and Outline.mp4 8.0 MB
01 Introduction and Review/002 Review of Important Concepts.mp4 6.3 MB
01 Introduction and Review/003 Where to get the Code and Data.mp4 4.0 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB
02 K-Nearest Neighbor/008 KNN for the XOR Problem.mp4 4.5 MB
02 K-Nearest Neighbor/009 KNN for the Donut Problem.mp4 5.7 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
03 Naive Bayes and Bayes Classifiers/011 Naive Bayes Handwritten Example.mp4 6.1 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
03 Naive Bayes and Bayes Classifiers/013 Non-Naive Bayes.mp4 7.7 MB
03 Naive Bayes and Bayes Classifiers/014 Bayes Classifier in Code with MNIST.mp4 4.7 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
03 Naive Bayes and Bayes Classifiers/016 Generative vs Discriminative Models.mp4 5.4 MB
04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
04 Decision Trees/018 Information Entropy.mp4 7.3 MB
04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
04 Decision Trees/020 Choosing the Best Split.mp4 7.0 MB

[磁力链接] 添加时间:2017-08-19 大小:429.2 MB 最近下载:2025-10-23 热度:1569

[FreeTutorials.Us] unsupervised-deep-learning-in-python

01 Introduction and Outline/001 Introduction and Outline.mp4 3.4 MB
01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4 5.4 MB
01 Introduction and Outline/003 How to Succeed in this Course.mp4 10.0 MB
02 Principal Components Analysis/004 What does PCA do.mp4 12.1 MB
02 Principal Components Analysis/005 PCA derivation.mp4 7.0 MB
02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4 9.8 MB
02 Principal Components Analysis/007 PCA objective function.mp4 3.9 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp4 8.3 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/009 t-SNE on the Donut.mp4 15.8 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp4 9.8 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp4 4.6 MB
04 Autoencoders/012 Autoencoders.mp4 6.1 MB
04 Autoencoders/013 Denoising Autoencoders.mp4 3.6 MB
04 Autoencoders/014 Stacked Autoencoders.mp4 6.9 MB
04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4 40.4 MB
04 Autoencoders/016 Testing our Autoencoder Theano.mp4 11.9 MB
04 Autoencoders/017 Writing the deep neural network class in code Theano.mp4 44.0 MB
04 Autoencoders/018 Autoencoder in Code Tensorflow.mp4 25.6 MB
04 Autoencoders/019 Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4 19.4 MB
04 Autoencoders/020 Cross Entropy vs. KL Divergence.mp4 7.8 MB

[磁力链接] 添加时间:2017-08-18 大小:583.4 MB 最近下载:2025-02-09 热度:1563

[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

[FreeCourseLab.com] Udemy - Learning Python for Data Analysis and Visualization

10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 97.1 MB
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 86.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 70.4 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 46.0 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 41.4 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 38.6 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 37.7 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 37.0 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 32.4 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 32.2 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 32.1 MB
2. Setup/2. IDEs and Course Resources.mp4 31.8 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 28.5 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 28.3 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 28.1 MB
9. Example Projects/1. Data Projects Preview.mp4 27.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 26.2 MB
9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 26.1 MB

[磁力链接] 添加时间:2021-04-06 大小:2.1 GB 最近下载:2025-10-03 热度:1556

[FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

[磁力链接] 添加时间:2021-03-17 大小:924.3 MB 最近下载:2025-10-26 热度:1555

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

2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4 113.1 MB

[磁力链接] 添加时间:2021-03-10 大小:8.2 GB 最近下载:2025-10-15 热度:1543

[FreeTutorials.Eu] [UDEMY] Recommender Systems and Deep Learning in Python - [FTU]

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB

[磁力链接] 添加时间:2021-03-15 大小:4.3 GB 最近下载:2025-10-26 热度:1532

[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
10. 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. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4 81.6 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.3 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB

[磁力链接] 添加时间:2021-03-20 大小:3.2 GB 最近下载:2025-10-23 热度:1520

[FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization

9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4 68.1 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
10. Machine Learning/2. Linear Regression Part 1.mp4 61.5 MB

[磁力链接] 添加时间:2021-03-18 大小:4.2 GB 最近下载:2025-10-18 热度:1517