learning python -移花宫 -武林禁地，闲人禁止入内

[ 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

[ FreeCourseWeb.com ] Udemy - The Complete Supervised Machine Learning Models in Python.zip

[ FreeCourseWeb.com ] Udemy - The Complete Supervised Machine Learning Models in Python.zip 5.8 GB

[磁力链接] 添加时间:2021-04-26 大小:5.8 GB 最近下载:2025-10-30 热度:4668

[DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python

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

[磁力链接] 添加时间:2021-04-25 大小:7.3 GB 最近下载:2025-10-29 热度:1820

Machine Learning A-Z - Hands-On Python and R In Data Science

31 Artificial Neural Networks.rar 530.5 MB
29 -------------------- Part 7 Natural Language Processing --------------------.rar 469.8 MB
05 Multiple Linear Regression.rar 384.0 MB
32 Convolutional Neural Networks.rar 370.7 MB
06 Polynomial Regression.rar 332.6 MB
27 Upper Confidence Bound (UCB).rar 314.9 MB
12 Logistic Regression.rar 284.8 MB
24 Apriori.rar 279.3 MB
02 -------------------- Part 1 Data Preprocessing --------------------.rar 247.8 MB
04 Simple Linear Regression.rar 210.7 MB
34 Principal Component Analysis (PCA).rar 204.1 MB
16 Naive Bayes.rar 185.4 MB
22 Hierarchical Clustering.rar 178.2 MB
15 Kernel SVM.rar 177.7 MB
38 Model Selection.rar 175.6 MB
28 Thompson Sampling.rar 171.2 MB
18 Random Forest Classification.rar 152.0 MB
21 K-Means Clustering.rar 148.2 MB
17 Decision Tree Classification.rar 130.6 MB
08 Decision Tree Regression.rar 126.0 MB

[磁力链接] 添加时间:2021-04-25 大小:6.2 GB 最近下载:2025-10-30 热度:2916

[Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python

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

[磁力链接] 添加时间:2021-04-25 大小:1.6 GB 最近下载:2025-06-10 热度:204

[DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python

09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 46.0 MB
04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
06 Practical Machine Learning/030 Sci-Kit Learn.mp4 16.6 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
09 Appendix/037 How to Code by Yourself part 2.mp4 15.5 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
05 Perceptrons/023 Perceptron in Code.mp4 14.4 MB
05 Perceptrons/022 Perceptron Concepts.mp4 12.8 MB
07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 12.4 MB
06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 11.3 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 9.2 MB
06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 9.1 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB

[磁力链接] 添加时间:2021-04-23 大小:429.2 MB 最近下载:2025-09-20 热度:1073

[DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python

[DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python.zip 774.8 MB
[DesireCourse.Net].url 51 Bytes
[CourseClub.Me].url 48 Bytes

[磁力链接] 添加时间:2021-04-23 大小:774.8 MB 最近下载:2025-10-14 热度:800

[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip

[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip 773.2 MB

[磁力链接] 添加时间:2021-04-23 大小:773.2 MB 最近下载:2025-10-25 热度:1435

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

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

[磁力链接] 添加时间:2021-04-23 大小:7.3 GB 最近下载:2025-10-27 热度:1173

Machine Learning - Random Forest with Python from Scratch

[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/051 Quick Implementation of Random Forest Model.mp4 109.0 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/045 Reading and Manipulating Dataset.mp4 105.1 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/050 Categorical to Numeric Conversion.mp4 102.5 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/03 Introduction to Machine learning/028 Labels and Features.mp4 91.4 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/02 Introduction to Python/024 Calculator Project.mp4 90.0 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/059 Best Slip.mp4 83.9 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/02 Introduction to Python/023 Boolian and Value returning Function.mp4 76.2 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/055 Importing Data, Helper Functions.mp4 74.8 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/046 Using Matplotlib for Data Visualization (1).mp4 74.7 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/062 Classify.mp4 74.0 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/048 Dealing with Missing Values.mp4 72.3 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/043 Using Pandas for Random Forest (1).mp4 70.9 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/02 Introduction to Python/010 Strings.mp4 69.3 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/041 Introduction to the final Project.mp4 68.6 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/038 Introduction and Motivation.mp4 68.6 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/061 How to Build Tree.mp4 64.8 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/042 Using NumPy for Random Forest.mp4 64.8 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/049 Outliers Removal.mp4 63.6 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/063 Accuracy and Error.mp4 62.1 MB
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch/04 Random Forest Step-by-step/056 Question and Partition.mp4 61.6 MB

[磁力链接] 添加时间:2021-04-22 大小:3.4 GB 最近下载:2025-10-27 热度:1955

[Udemy] Complete Guide to TensorFlow for Deep Learning with Python (2020) [En]

1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt 47.1 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. 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
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.8 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. 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
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB

[磁力链接] 添加时间:2021-04-21 大小:2.5 GB 最近下载:2025-07-12 热度:554

[Tutorialsplanet.NET] Udemy - Advanced AI Deep Reinforcement Learning in Python

6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.srt 246.0 MB
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.srt 245.1 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.srt 195.4 MB
9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.srt 193.3 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 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.srt 97.9 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.srt 91.2 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.srt 88.6 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.srt 85.4 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB

[磁力链接] 添加时间:2021-04-20 大小:3.8 GB 最近下载:2024-03-18 热度:71

Learning Python For Beginners

Learning Python For Beginners.zip 1.0 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
TutsGalaxy.com.txt 53 Bytes

[磁力链接] 添加时间:2021-04-19 大小:1.0 GB 最近下载:2025-03-15 热度:72

[FreeCourseLab.com] 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. 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/9.1 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. 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
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
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.vtt 78.0 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
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/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. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/5. Activation Functions.mp4 62.6 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/6. Training Part 1 – Loss Functions.mp4 61.3 MB

[磁力链接] 添加时间:2021-04-19 大小:3.9 GB 最近下载:2025-10-28 热度:1222

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

8. Apache Spark Machine Learning on Big Data/8. [Activity] Decision Trees in Spark.mp4 202.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 180.7 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
1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB

[磁力链接] 添加时间:2021-04-18 大小:7.9 GB 最近下载:2025-10-27 热度:1310

[FreeAllCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python

06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
09 Appendix FAQ/062 Windows-Focused Environment Setup E8.mp4 195.2 MB
07 A3C/054 A3C - Code pt 4.mp4 193.3 MB
08 Theano and Tensorflow Basics Review/060 (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
08 Theano and Tensorflow Basics Review/057 (Review) Theano Basics.mp4 97.9 MB
08 Theano and Tensorflow Basics Review/058 (Review) Theano Neural Network in Code.mp4 91.2 MB
07 A3C/053 A3C - Code pt 3.mp4 88.6 MB
08 Theano and Tensorflow Basics Review/059 (Review) Tensorflow Basics.mp4 85.4 MB
09 Appendix FAQ/068 Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
07 A3C/050 A3C - Theory and Outline.mp4 75.2 MB
07 A3C/052 A3C - Code pt 2.mp4 60.4 MB
07 A3C/051 A3C - Code pt 1 (Warmup).mp4 52.5 MB
09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
09 Appendix FAQ/073 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
09 Appendix FAQ/072 What order should I take your courses in (part 2).mp4 39.4 MB
09 Appendix FAQ/071 What order should I take your courses in (part 1).mp4 30.7 MB
06 Deep Q-Learning/045 Pseudocode and Replay Memory.mp4 29.2 MB
09 Appendix FAQ/064 How to Code by Yourself (part 1).mp4 25.7 MB

[磁力链接] 添加时间:2021-04-18 大小:2.5 GB 最近下载:2025-06-11 热度:307

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

6. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
8. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
8. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
8. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
1. Welcome/4. How to Succeed in this Course.mp4 29.3 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
7. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
8. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.3 MB

[磁力链接] 添加时间:2021-04-18 大小:1.2 GB 最近下载:2025-01-20 热度:72

[DesireCourse.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:2021-04-17 大小:2.1 GB 最近下载:2025-10-13 热度:2026

[GigaCourse.com] Udemy - Deep Learning Prerequisites Logistic Regression in Python

7. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
2. Basics What is linear classification What's the relation to neural networks/3. How do we calculate the output of a neuron logistic classifier - Theory.srt 84.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.srt 82.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Practical concerns/11. Practical Section Summary.srt 82.1 MB
1. Start Here/1. Introduction and Outline.mp4 49.2 MB
7. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
7. Appendix FAQ/14. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/13. What order should I take your courses in (part 2).mp4 39.4 MB
7. Appendix FAQ/12. What order should I take your courses in (part 1).mp4 30.7 MB
2. Basics What is linear classification What's the relation to neural networks/5. Interpretation of Logistic Regression Output.mp4 29.2 MB
3. Solving for the optimal weights/7. Maximizing the likelihood.mp4 26.4 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
7. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
7. Appendix FAQ/2. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
3. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB

[磁力链接] 添加时间:2021-04-16 大小:1.3 GB 最近下载:2025-10-29 热度:736

[ FreeCourseWeb.com ] Hands-On Gradient Boosting with XGBoost and scikit-learn - Perform accessible Python machine learning & extreme gradient Boost.zip

[ FreeCourseWeb.com ] Hands-On Gradient Boosting with XGBoost and scikit-learn - Perform accessible Python machine learning & extreme gradient Boost.zip 327.2 MB

[磁力链接] 添加时间:2021-04-16 大小:327.2 MB 最近下载:2025-10-09 热度:1269