learning python -移花宫 -武林禁地，闲人禁止入内

Machine Learning Fundamentals A Python-Based Course

Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.mp4 203.5 MB
Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.mp4 178.5 MB
Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.mp4 173.8 MB
Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.mp4 171.6 MB
Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.mp4 171.2 MB
Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.mp4 169.6 MB
Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.mp4 164.3 MB
Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.mp4 161.6 MB
Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.mp4 161.2 MB
Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.mp4 153.7 MB
Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.mp4 148.6 MB
Module 5 Unsupervised Learning Fundamentals/003. Lesson 5.3 k-Means Clustering.mp4 148.3 MB
Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).mp4 140.0 MB
Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.mp4 136.0 MB
Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.mp4 135.6 MB
Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.mp4 133.7 MB
Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.mp4 132.6 MB
Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.mp4 131.5 MB
Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.mp4 129.6 MB
Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.mp4 125.7 MB

[磁力链接] 添加时间:2024-10-30 大小:4.5 GB 最近下载:2025-10-27 热度:5507

[ DevCourseWeb.com ] Udemy - Basics of Chatbots with Machine Learning and Python

~Get Your Files Here !/4. Project Conversational Chatbot Development with Machine Learning/10. Bot Finishing.mp4 72.8 MB
~Get Your Files Here !/4. Project Conversational Chatbot Development with Machine Learning/9. Generate Response.mp4 68.8 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/12. Remove Tags and Lemmatize.mp4 65.7 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/11. Word Tokens and Remove ASCII.mp4 54.7 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/14. Response Generation.mp4 53.1 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/17. Local Search and Wikipidea Search.mp4 51.5 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/16. Developing Results.mp4 51.5 MB
~Get Your Files Here !/4. Project Conversational Chatbot Development with Machine Learning/7. Lemmatization and Processed Text.mp4 38.9 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/7. NLTK Features.mp4 38.2 MB
~Get Your Files Here !/4. Project Conversational Chatbot Development with Machine Learning/11. Testing the Bot.mp4 35.9 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/9. Package Installation.mp4 35.4 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/4. Architecture of ML Chatbots.mp4 35.2 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/10. Data Input.mp4 32.3 MB
~Get Your Files Here !/4. Project Conversational Chatbot Development with Machine Learning/8. Greeting Function.mp4 31.9 MB
~Get Your Files Here !/4. Project Conversational Chatbot Development with Machine Learning/12. Thank you!.mp4 31.1 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/5. ML Enabled Features.mp4 30.0 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/15. Wiki Search.mp4 25.4 MB
~Get Your Files Here !/4. Project Conversational Chatbot Development with Machine Learning/4. Getting the Data.mp4 25.4 MB
~Get Your Files Here !/4. Project Conversational Chatbot Development with Machine Learning/2. Module Introduction.mp4 24.4 MB
~Get Your Files Here !/3. Machine Learning Based Chatbots/2. Module Introduction.mp4 24.1 MB

[磁力链接] 添加时间:2024-02-15 大小:1.2 GB 最近下载:2025-10-27 热度:1796

Data Science Deep Learning and Neural Networks in Python

[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.mp4 105.7 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/10. Higher-Level Discussion/3. Who should learn backpropagation in 2020 and beyond.mp4 92.0 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/5. Training a neural network/11. Backpropagation (part 3).mp4 77.0 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/5. Training a neural network/6. Training Logistic Regression with Softmax (part 1).mp4 62.5 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/10. Higher-Level Discussion/2. Who should take this course in 2020 and beyond.mp4 60.2 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/10. Higher-Level Discussion/4. Where does this course fit into your deep learning studies.mp4 56.7 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/5. Training a neural network/5. Categorical Cross-Entropy Loss Function.mp4 51.8 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/5. Training a neural network/10. Backpropagation in code.mp4 48.6 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/1. Welcome/3. How to Succeed in this Course.mp4 45.9 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.mp4 45.3 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/5. Training a neural network/9. Backpropagation (part 2).mp4 44.1 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/2. Review/4. Neuron Training.mp4 40.4 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/1. Welcome/1. Introduction and Outline.mp4 39.7 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/14. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/5. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
[TutsNode.com] - Data Science Deep Learning and Neural Networks in Python/5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp4 39.1 MB

[磁力链接] 添加时间:2022-01-30 大小:2.2 GB 最近下载:2025-10-27 热度:5632

[UdemyCourseDownloader] Learning Python for Data Analysis and Visualization

10 Machine Learning/086 Decision Trees and Random Forests.mp4 243.4 MB
udemycoursedownloader.com.url 132 Bytes
01 Intro to Course and Python/001 Course Intro.mp4 13.9 MB
01 Intro to Course and Python/002 Course FAQs.html 7.4 kB
02 Setup/003 Installation Setup and Overview.mp4 39.5 MB
02 Setup/004 IDEs and Course Resources.mp4 40.4 MB
02 Setup/005 iPythonJupyter Notebook Overview.mp4 60.6 MB
02 Setup/attached_files/005 iPythonJupyter Notebook Overview/Lecture-4-Info.txt 176 Bytes
03 Learning Numpy/006 Intro to numpy.html 1.2 kB
03 Learning Numpy/007 Creating arrays.mp4 13.7 MB
03 Learning Numpy/008 Using arrays and scalars.mp4 8.3 MB
03 Learning Numpy/009 Indexing Arrays.mp4 27.4 MB
03 Learning Numpy/010 Array Transposition.mp4 7.9 MB
03 Learning Numpy/011 Universal Array Function.mp4 15.7 MB
03 Learning Numpy/012 Array Processing.mp4 43.0 MB
03 Learning Numpy/013 Array Input and Output.mp4 14.7 MB
04 Intro to Pandas/014 Series.mp4 25.9 MB
04 Intro to Pandas/015 DataFrames.mp4 55.4 MB
04 Intro to Pandas/016 Index objects.mp4 9.7 MB
04 Intro to Pandas/017 Reindex.mp4 33.8 MB

[磁力链接] 添加时间:2018-11-23 大小:4.3 GB 最近下载:2025-10-27 热度:1865

[DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python

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:2021-03-13 大小:4.3 GB 最近下载:2025-10-27 热度:2500

Udemy - Deep Learning Convolutional Neural Networks in Python (5.2025)

13. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 324.1 MB
06. Natural Language Processing (NLP)/5. Text Classification with CNNs.mp4 313.4 MB
05. Convolutional Neural Networks/4. Why use 0-indexing.mp4 210.7 MB
13. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 201.3 MB
03. Machine Learning and Neurons/4. Classification Notebook.mp4 180.5 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 143.0 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 141.4 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/8. Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
02. Google Colab/2. Uploading your own data to Google Colab.mp4 108.3 MB
05. Convolutional Neural Networks/12. Improving CIFAR-10 Results (Legacy).mp4 106.1 MB
04. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4 104.0 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to Code by Yourself (part 1).mp4 98.1 MB
03. Machine Learning and Neurons/6. Regression Notebook.mp4 91.8 MB
02. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 75.1 MB
03. Machine Learning and Neurons/8. How does a model learn.mp4 63.5 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 63.1 MB
05. Convolutional Neural Networks/6. CNN Architecture.mp4 62.6 MB
04. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 62.4 MB
06. Natural Language Processing (NLP)/3. Text Preprocessing.mp4 62.3 MB
05. Convolutional Neural Networks/7. CNN Code Preparation.mp4 60.4 MB

[磁力链接] 添加时间:2025-07-07 大小:4.2 GB 最近下载:2025-10-27 热度:591

Modern Deep Learning in Python

Modern Deep Learning in Python/17. Appendix/4. Windows-Focused Environment Setup 2018.mp4 195.4 MB
Modern Deep Learning in Python/15. PyTorch/1. PyTorch Basics.mp4 122.5 MB
Modern Deep Learning in Python/17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
Modern Deep Learning in Python/17. Appendix/2. What's the difference between neural networks and deep learning.mp4 47.3 MB
Modern Deep Learning in Python/11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 46.1 MB
Modern Deep Learning in Python/17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
Modern Deep Learning in Python/17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
Modern Deep Learning in Python/14. Keras/3. Keras Functional API.mp4 40.5 MB
Modern Deep Learning in Python/17. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
Modern Deep Learning in Python/11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 39.2 MB
Modern Deep Learning in Python/15. PyTorch/3. PyTorch Batch Norm.mp4 35.5 MB
Modern Deep Learning in Python/15. PyTorch/2. PyTorch Dropout.mp4 34.3 MB
Modern Deep Learning in Python/17. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
Modern Deep Learning in Python/17. Appendix/7. How to Code by Yourself (part 1).mp4 25.7 MB
Modern Deep Learning in Python/8. TensorFlow/2. Building a neural network in TensorFlow.mp4 25.0 MB
Modern Deep Learning in Python/8. TensorFlow/3. What is a Session (And more).mp4 24.7 MB
Modern Deep Learning in Python/2. Review/1. Review of Basic Concepts.mp4 24.5 MB
Modern Deep Learning in Python/12. Modern Regularization Techniques/2. Dropout Regularization.mp4 23.8 MB
Modern Deep Learning in Python/7. Theano/2. Building a neural network in Theano.mp4 22.8 MB

[磁力链接] 添加时间:2021-03-23 大小:1.6 GB 最近下载:2025-10-27 热度:2325

[Udemy] A deep understanding of deep learning (with Python intro) (08.2021)

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
07 ANNs/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/009 Learning rates comparison.mp4 176.8 MB
12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
11 FFNs/003 FFN to classify digits.mp4 169.7 MB
16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
12 More on data/007 Data feature augmentation.mp4 166.0 MB
21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
14 FFN milestone projects/004 Project 2_ My solution.mp4 163.3 MB
21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.mp4 160.8 MB

[磁力链接] 添加时间:2022-01-13 大小:22.7 GB 最近下载:2025-10-27 热度:4056

Udemy - Modern Computer Vision & Deep Learning with Python & PyTorch (12.2024)

09. Overview of YOLO Family for Object Detection/01. Overview of YOLO Family.mp4 277.8 MB
05. 1. Image Classification Task of Computer Vision/02. Image Classification with Deep Convolutional Neural Networks using Python.mp4 241.1 MB
20. Implementation, Optimization and Training Of Segmentation Models/01. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4 207.3 MB
07. Transfer Learning for Image Classification/assets/Classification-Dataset.zip 184.8 MB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/02. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.mp4 182.5 MB
04. Computer Vision and Deep Convolutional Neural Networks/03. Coding Convolutional Neural Network Architecture from Scratch.mp4 171.0 MB
12. Detectron2 for Ojbect Detection/01. Detectron2 for Ojbect Detection with PyTorch.mp4 168.2 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/03. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.mp4 160.9 MB
03. Deep Learning for Computer Vision/01. Basics of Deep Learning for Computer Vision.mp4 158.1 MB
11. Overview of RCNN Family for Object Detection/01. Overview of RCNN Family for Object Detection.mp4 154.5 MB
15. 3. Semantic Segmentation Task Of Computer Vision/02. Semantic Segmentation Real-World Applications.mp4 151.4 MB
12. Detectron2 for Ojbect Detection/02. Perform Object Detection using Detectron2 Pretrained Models.mp4 143.7 MB
04. Computer Vision and Deep Convolutional Neural Networks/06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.mp4 124.0 MB
21. Test Models and Visualize Segmentation Results/01. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4 119.0 MB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/04. Data Loading with PyTorch Customized Dataset Class.mp4 114.9 MB
02. What is Computer Vision & its Applications/01. Introduction to Computer Vision and its Real-world Applications.mp4 114.0 MB
10. Video Object Detection in Real-time/04. Testing YOLO8 on Videos and Images.mp4 112.7 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/01. Custom Dataset for Object Detection.mp4 92.7 MB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/01. Custom Dataset for Instance Segmentation.mp4 90.3 MB
21. Test Models and Visualize Segmentation Results/03. Visualize Segmentation Results and Generate RGB Segmented Map.mp4 90.1 MB

[磁力链接] 添加时间:2025-09-30 大小:5.2 GB 最近下载:2025-10-27 热度:98

[Udemy] Python Programming Machine Learning, Deep Learning (05.2021)

11. Projects/2. Project - 2.mp4 177.5 MB
6. Machine Learning/15. Choosing the right algorithm and model.mp4 155.7 MB
5. Numpy Library/8. Using Numpy in Linear Algebra.mp4 117.6 MB
11. Projects/1. Project - 1.mp4 106.5 MB
6. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 92.2 MB
10. Transfer Learning/1. What is Transfer Learning.mp4 89.5 MB
6. Machine Learning/16. Training and testing the model.mp4 88.1 MB
11. Projects/3. Project - 3.mp4 86.3 MB
7. Artificial Neural Network/3. Creating a Simple ANN.mp4 83.3 MB
5. Numpy Library/5. Numpy Functions.mp4 82.3 MB
5. Numpy Library/7. Numpy Exercises.mp4 77.8 MB
8. Convolutional Neural Network (CNN)/1. What is CNN.mp4 75.9 MB
11. Projects/4. Project - 4.mp4 75.8 MB
6. Machine Learning/11. Supervised Machine Learning Methods - 4.mp4 73.7 MB
3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets.mp4 69.6 MB
7. Artificial Neural Network/8. What is TensorFlow.mp4 65.6 MB
7. Artificial Neural Network/4. Tensor Operations.mp4 65.1 MB
4. Object Oriented Programming/5. Overriding and Overloading.mp4 61.7 MB
6. Machine Learning/10. Supervised Machine Learning Methods - 3.mp4 58.8 MB
6. Machine Learning/9. Supervised Machine Learning Methods - 2.mp4 58.1 MB

[磁力链接] 添加时间:2022-03-19 大小:3.0 GB 最近下载:2025-10-27 热度:7096

[FreeCourseSite.com] Udemy - Machine Learning and Data Science Hands-on with Python and R

2. Machine Learning with Tensorflow for Beginners/41. Title of the Plot.vtt 180.9 MB
2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB

[磁力链接] 添加时间:2021-04-13 大小:33.1 GB 最近下载:2025-10-27 热度:1936

Python Machine Learning Basics Shallow Learning Algorithms

Python Machine Learning Basics Shallow Learning Algorithms.zip 453.7 MB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

[磁力链接] 添加时间:2021-06-26 大小:453.7 MB 最近下载:2025-10-27 热度:1355

[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning

19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz 149.5 MB
12/1.1 DeepLearningCV_MOCV.tar.gz.gz 142.0 MB
1. Course Introduction and Setup/9.1 MasteringComputerVision_V1.03.zip.zip 133.7 MB
18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz 126.7 MB
13/9. 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
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
14/3. Convolutions & Image Features.mp4 107.4 MB
13/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
12/1. Setup your Deep Learning Virtual Machine.mp4 81.2 MB
15/12. Building a Simple Image Classifier using CIFAR10.vtt 78.0 MB
15/12. 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
15/2. Building a CNN in Keras.mp4 77.3 MB
13/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
12/2. Intro to Handwritten Digit Classification (MNIST).mp4 70.6 MB
13/4. Forward Propagation.mp4 66.4 MB
8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
13/5. Activation Functions.mp4 62.6 MB

[磁力链接] 添加时间:2022-01-26 大小:4.3 GB 最近下载:2025-10-27 热度:2340

cluster analysis unsupervised machine learning python.zip

cluster analysis unsupervised machine learning python.zip 257.2 MB

[磁力链接] 添加时间:2017-07-22 大小:257.2 MB 最近下载:2025-10-27 热度:2033

Python, Excel and Machine Learning for Stocks Data Science

Python, Excel and Machine Learning for Stocks Data Science.zip 3.7 GB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes

[磁力链接] 添加时间:2021-03-15 大小:3.7 GB 最近下载:2025-10-27 热度:7959

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

01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB

[磁力链接] 添加时间:2021-03-10 大小:2.5 GB 最近下载:2025-10-27 热度:4888

[GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R

26. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
36. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
17. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
25. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
25. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
22. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
26. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
26. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
33. 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
24. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
37. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
36. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
26. 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
36. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
22. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
13. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.3 MB
34. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

[磁力链接] 添加时间:2023-12-26 大小:13.5 GB 最近下载:2025-10-27 热度:4148

[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

[FreeTutorials.Us] Udemy - machine-learning-course-with-python

02 Getting Started with Anaconda/attached_files/008 Navigating the Spyder Jupyter Notebook Interface/0204.zip 43.3 kB
02 Getting Started with Anaconda/attached_files/009 Downloading the IRIS Datasets/0205.zip 234.1 kB
02 Getting Started with Anaconda/attached_files/010 Data Exploration and Analysis/0206.zip 45.8 kB
02 Getting Started with Anaconda/attached_files/011 Presenting Your Data/0207.zip 1.1 MB
03 Regression/attached_files/014 Working with Scikit-Learn/0303.zip 933.8 kB
03 Regression/attached_files/015 Boston Housing Data - EDA/0304.zip 2.0 MB
03 Regression/attached_files/016 Correlation Analysis and Feature Selection/0305.zip 2.2 MB
03 Regression/attached_files/017 Simple Linear Regression Modelling with Boston Housing Data/0306.zip 2.7 MB
03 Regression/attached_files/018 Robust Regression/0307.zip 2.9 MB
03 Regression/attached_files/019 Evaluate Model Performance/0308.zip 3.1 MB
03 Regression/attached_files/020 Multiple Regression with statsmodel/0309.zip 2.7 MB
03 Regression/attached_files/021 Multiple Regression and Feature Importance/0310.zip 2.8 MB
03 Regression/attached_files/022 Ordinary Least Square Regression and Gradient Descent/0311.zip 144.8 kB
03 Regression/attached_files/023 Regularised Method for Regression/0312.zip 264.9 kB
03 Regression/attached_files/024 Polynomial Regression/0313.zip 383.9 kB
03 Regression/attached_files/025 Dealing with Non-linear relationships/0314.zip 185.1 kB
03 Regression/attached_files/026 Feature Importance Revisited/0315.zip 231.3 kB
03 Regression/attached_files/027 Data Pre-Processing 1/0316.zip 159.6 kB
03 Regression/attached_files/028 Data Pre-Processing 2/0317.zip 160.7 kB
03 Regression/attached_files/029 Variance Bias Trade Off - Validation Curve/0318.zip 540.8 kB

[磁力链接] 添加时间:2018-02-09 大小:3.2 GB 最近下载:2025-10-27 热度:1760

[FreeCoursesOnline.Me] [Packtpub.Com] Python Deep Learning for Beginners - [FCO]

1.Understanding Deep Learning/04.Tools, Requirements, and Setup.mp4 21.0 MB
8.Object Detection Using CNNs/23.Building a CNN to Detect General Images.mp4 20.0 MB
2.Building the Basic Blocks of Machine Learning/07.Linear Regression.mp4 19.8 MB
7.Exploring Recurrent Neural Networks/21.Recurrent Neural Networks.mp4 17.9 MB
4.Discovering Convolutional Neural Networks (CNNs)/14.Implementing a CNN.mp4 16.4 MB
9.Moving Forward with Deep Learning and AI/25.Comparison of DL Frameworks.mp4 16.0 MB
8.Object Detection Using CNNs/24.Training and Deploying on a Cluster.mp4 15.2 MB
4.Discovering Convolutional Neural Networks (CNNs)/15.Deep CNNs.mp4 14.8 MB
2.Building the Basic Blocks of Machine Learning/08.The Perceptron.mp4 14.7 MB
4.Discovering Convolutional Neural Networks (CNNs)/13.Understanding CNNs.mp4 14.1 MB
6.Learning about Detection and Segmentation/20.Fully Convolutional Networks.mp4 13.2 MB
7.Exploring Recurrent Neural Networks/22.LSTM and Advancements.mp4 13.0 MB
5.Using CNNs to Solve Increasingly Complex Tasks/18.Fine-Tuning.mp4 12.6 MB
1.Understanding Deep Learning/03.Deep Learning Today.mp4 12.1 MB
3.Diving into Deep Neural Networks/10.Backpropagation.mp4 10.9 MB
5.Using CNNs to Solve Increasingly Complex Tasks/16.Very Deep CNNs.mp4 10.7 MB
9.Moving Forward with Deep Learning and AI/26.Exciting Areas for Upcoming Research.mp4 10.2 MB
6.Learning about Detection and Segmentation/19.Semantic Segmentation.mp4 9.7 MB
3.Diving into Deep Neural Networks/11.Neural Networks from Scratch.mp4 9.4 MB
3.Diving into Deep Neural Networks/09.Feedforward Networks.mp4 8.9 MB

[磁力链接] 添加时间:2023-12-19 大小:321.3 MB 最近下载:2025-10-27 热度:1036