learning python -移花宫 -武林禁地，闲人禁止入内

[ TutGee.com ] Udemy - Exploring & Learning GeoPandas [Incl Python, Numpy, Pandas].zip

[ TutGee.com ] Udemy - Exploring & Learning GeoPandas [Incl Python, Numpy, Pandas].zip 989.1 MB

[磁力链接] 添加时间:2025-02-02 大小:989.1 MB 最近下载:2025-10-28 热度:427

[FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 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
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4 15.1 MB

[磁力链接] 添加时间:2021-03-23 大小:987.8 MB 最近下载:2025-08-16 热度:841

Learning Python The Hard Way

LearnPythonTheHardWay2ndEdition.epub 364.5 kB
Week 0 L1 LearnPythonTheHardWay2ndEdition.pdf 828.6 kB
Week 0 L3 LearnPythonVideoSlides.pdf 131.5 kB
Week 0 L4 New Resource For People Struggling With The Command Line.rtf 1.1 kB
Week 0 L5 The Setup.rtf 2.7 kB
Week 1 L1 An Intro to geting the most out of this course.mp4 42.5 MB
Week 1 L2 Excerises 0-6.mp4 152.1 MB
Week 1 L3 Excerises 7-13.mp4 64.2 MB
Week 2 L1 Excerises 14-20.mp4 105.1 MB
Week 2 L2 Excerises 21-26 .mp4 106.4 MB
Week 3 L1 Exercises 27-33.mp4 66.0 MB
Week 3 L2 Exercises 34-40.mp4 113.5 MB
Week 4 L1 Exercises 41-47.mp4 129.0 MB
Week 4 L2 Exercises 48-52 Unix OSX Linux Users.mp4 84.4 MB
Week 4 L3 Exercises 48-52 Windows Users.mp4 121.2 MB

[磁力链接] 添加时间:2017-02-10 大小:985.7 MB 最近下载:2025-08-16 热度:511

[ FreeCourseWeb.com ] Skillshare - Face Mask Detection Project with Deep Learning and Python

~Get Your Files Here !/30. Prediction Step -1, Face Detection.mp4 60.4 MB
~Get Your Files Here !/13. Data Preparation Draw Bounding Box for Detected Face.mp4 50.4 MB
~Get Your Files Here !/15. Data Preparation Step-5, Image Processing - Blob from Image.mp4 44.9 MB
~Get Your Files Here !/03. Data Preparation Data.mp4 43.6 MB
~Get Your Files Here !/18. Data Preparation Apply Data Preparation process to All images.mp4 43.0 MB
~Get Your Files Here !/24. Deep Learning Develop CNN model in TensorFlow 2.mp4 42.6 MB
~Get Your Files Here !/34. Prediction Get Face Mask Prediction to an Image.mp4 41.5 MB
~Get Your Files Here !/35. Prediction Real Time Face Mask Prediction.mp4 40.7 MB
~Get Your Files Here !/32. Prediction Step-3, Get Predictions from CNN Model.mp4 40.4 MB
~Get Your Files Here !/31. Prediction Step -2, Data Preprocess.mp4 38.7 MB
~Get Your Files Here !/14. Data Preparation Step-4, Crop the Detected Face.mp4 35.9 MB
~Get Your Files Here !/33. Prediction Generate text for Prediction info.mp4 34.7 MB
~Get Your Files Here !/23. Deep Learning Convolutional Neural Network Architecture.mp4 32.6 MB
~Get Your Files Here !/27. Deep Learning Save Convolutional Neural Network inTensorFlow.mp4 30.6 MB
~Get Your Files Here !/06. Data Preparation Get all Images Path in Folder.mp4 30.4 MB
~Get Your Files Here !/01. Introduction.mp4 29.8 MB
~Get Your Files Here !/04. Data Preparation Process Flow Idea.mp4 28.3 MB
~Get Your Files Here !/25. Deep Learning Compile CNN model.mp4 25.3 MB
~Get Your Files Here !/08. Data Preparation Get Images Path and Labelling Images in multiple Folders.mp4 24.9 MB
~Get Your Files Here !/21. Deep Learning One Hot Encoding to target or output variables.mp4 24.8 MB

[磁力链接] 添加时间:2024-06-19 大小:979.8 MB 最近下载:2025-09-22 热度:575

Lynda.Learning.Python.GUI.Programming-XQZT

llpgp-xqzt.iso 953.0 MB
llpgp-xqzt.nfo 1.4 kB
llpgp-xqzt.sfv 450 Bytes

[磁力链接] 添加时间:2017-07-14 大小:953.0 MB 最近下载:2024-06-27 热度:56

[ FreeCourseWeb.com ] Udemy - Data Science - Data Mining Unsupervised Learning R & Python.zip

[ FreeCourseWeb.com ] Udemy - Data Science - Data Mining Unsupervised Learning R & Python.zip 947.7 MB

[磁力链接] 添加时间:2021-06-12 大小:947.7 MB 最近下载:2025-10-20 热度:2105

Deep Learning Convolutional Neural Networks in Python

TutsGalaxy.com.txt 41 Bytes
Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
Read Me.txt 80 Bytes
Deep Learning Convolutional Neural Networks in Python.zip 943.9 MB

[磁力链接] 添加时间:2018-09-22 大小:943.9 MB 最近下载:2025-04-15 热度:96

[DesireCourse.Com] Udemy - Deep Learning Convolutional Neural Networks in Python

[DesireCourse.Com] Udemy - Deep Learning Convolutional Neural Networks in Python.zip 943.9 MB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

[磁力链接] 添加时间:2018-09-17 大小:943.9 MB 最近下载:2025-10-22 热度:2277

Natural Language Processing - Deep Learning Models in Python

Chapter 6 Recurrent Neural Networks/009. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 57.2 MB
Chapter 4 Feedforward Artificial Neural Networks/013. CBOW in Tensorflow (Advanced).mp4 54.1 MB
Chapter 5 Convolutional Neural Networks/006. CNN Architecture.mp4 42.5 MB
Chapter 3 The Neuron/004. Text Classification in Tensorflow.mp4 39.5 MB
Chapter 4 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 38.8 MB
Chapter 6 Recurrent Neural Networks/006. GRU and LSTM (pt 1).mp4 38.8 MB
Chapter 5 Convolutional Neural Networks/005. Convolution on Color Images.mp4 35.9 MB
Chapter 5 Convolutional Neural Networks/002. What is Convolution.mp4 35.5 MB
Chapter 3 The Neuron/002. Fitting a Line.mp4 34.0 MB
Chapter 6 Recurrent Neural Networks/005. RNNs Paying Attention to Shapes.mp4 28.8 MB
Chapter 6 Recurrent Neural Networks/007. GRU and LSTM (pt 2).mp4 25.6 MB
Chapter 4 Feedforward Artificial Neural Networks/008. Text Preprocessing Code Preparation.mp4 25.3 MB
Chapter 3 The Neuron/006. How does a model learn.mp4 23.6 MB
Chapter 4 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 23.5 MB
Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.mp4 22.1 MB
Chapter 6 Recurrent Neural Networks/004. RNN Code Preparation.mp4 21.5 MB
Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.mp4 21.4 MB
Chapter 3 The Neuron/005. The Neuron.mp4 21.1 MB
Chapter 4 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 21.0 MB
Chapter 6 Recurrent Neural Networks/003. Simple RNN Elman Unit (pt 2).mp4 20.7 MB

[磁力链接] 添加时间:2024-07-20 大小:934.1 MB 最近下载:2025-10-30 热度:5778

Kurs Machine Learning w Python - wprowadzenie do sztucznej inteligencji - strefakursow.pl.7z

Kurs Machine Learning w Python - wprowadzenie do sztucznej inteligencji - strefakursow.pl.7z 933.1 MB

[磁力链接] 添加时间:2023-12-17 大小:933.1 MB 最近下载:2025-10-29 热度:1467

[Tutorialsplanet.NET] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
8. 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. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
9/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9/4. What order should I take your courses in (part 2).mp4 39.5 MB
9/3. What order should I take your courses in (part 1).mp4 30.8 MB
8. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
2. Bias-Variance Trade-Off/7. Suggestion Box.mp4 16.9 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.6 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
8. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB
4. Random Forest/1. Random Forest Algorithm.mp4 15.1 MB
2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.mp4 15.0 MB
2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4 14.5 MB
9/1. How to Succeed in this Course (Long Version).mp4 13.6 MB

[磁力链接] 添加时间:2021-05-03 大小:928.3 MB 最近下载:2024-10-26 热度:270

[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

[DesireCourse.Net] 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:2022-01-18 大小:924.3 MB 最近下载:2025-10-25 热度:861

[FreeCoursesOnline.Me] [Coursera] Applied Machine Learning in Python - [FCO]

003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB

[磁力链接] 添加时间:2021-03-10 大小:924.2 MB 最近下载:2025-10-22 热度:1866

[FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python

001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.srt 16.5 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.srt 19.3 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.mp4 13.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.srt 6.3 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.srt 15.2 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.srt 12.3 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.srt 26.8 kB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.srt 22.7 kB
002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.mp4 20.5 MB
002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.srt 16.2 kB
002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.mp4 11.8 MB
002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.srt 6.9 kB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.srt 17.5 kB

[磁力链接] 添加时间:2018-08-25 大小:923.9 MB 最近下载:2025-10-29 热度:4193

[CourseClub.NET] Coursera - Applied Machine Learning in Python

003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB

[磁力链接] 添加时间:2021-03-24 大小:923.9 MB 最近下载:2025-10-28 热度:2729

Data Science Supervised Machine Learning in Python

Data Science Supervised Machine Learning in Python.zip 906.5 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:2021-04-03 大小:906.5 MB 最近下载:2025-10-22 热度:1952

Udemy - Introduction to Machine Learning & Face Detection in Python (2015)

08 Neural Networks/005 Applications of neural networks.mp4 24.5 MB
08 Neural Networks/007 Neural network example - XOR problem.mp4 26.2 MB
08 Neural Networks/002 Simple example - logical AND table.mp4 11.8 MB
08 Neural Networks/001 Neural network introduction.mp4 16.2 MB
08 Neural Networks/003 Training a neural network.mp4 34.9 MB
08 Neural Networks/004 Complex neural networks.mp4 34.0 MB
08 Neural Networks/006 Deep learning.mp4 11.1 MB
06 Tree Based Algorithms/008 Random forests example II - enhance decision trees.mp4 9.2 MB
06 Tree Based Algorithms/007 Random forests example I.mp4 9.3 MB
06 Tree Based Algorithms/004 Pruning and bagging.mp4 14.1 MB
06 Tree Based Algorithms/002 Decision trees example I.mp4 6.1 MB
06 Tree Based Algorithms/003 Decision trees example II - iris data.mp4 52.1 MB
06 Tree Based Algorithms/001 Decision trees introduction.mp4 40.1 MB
06 Tree Based Algorithms/006 Boosting.mp4 11.9 MB
06 Tree Based Algorithms/005 Random forests introduction.mp4 10.1 MB
02 Regression/005 Logistic regression example I - sigmoid function.mp4 48.3 MB
02 Regression/003 Logistic regression introduction.mp4 44.7 MB
02 Regression/004 Cross validation.mp4 19.8 MB
02 Regression/001 Linear regression introduction.mp4 31.4 MB
02 Regression/006 Logistic regression example II.mp4 16.7 MB

[磁力链接] 添加时间:2017-02-10 大小:906.3 MB 最近下载:2025-10-27 热度:3119

[ CourseHulu.com ] Udemy - Computer Vision Powered By Deep Learning, OpenCV And Python

~Get Your Files Here !/2. Environment Setup For Deep Learning/1. Python Environment Setup.mp4 100.3 MB
~Get Your Files Here !/3. Introduction To Deep Learning/2. Introduction To Artificial Neural Networks (ANNs).mp4 74.9 MB
~Get Your Files Here !/4. Fundamentals Of Deep Learning/3. ANN With Back Propagation.mp4 68.3 MB
~Get Your Files Here !/4. Fundamentals Of Deep Learning/2. Perceptron With Python.mp4 65.5 MB
~Get Your Files Here !/3. Introduction To Deep Learning/1. Introduction To Deep Learning.mp4 65.2 MB
~Get Your Files Here !/4. Fundamentals Of Deep Learning/1. Architecture And Training Of ANN.mp4 64.7 MB
~Get Your Files Here !/4. Fundamentals Of Deep Learning/4. Back Propagation With Python.mp4 64.6 MB
~Get Your Files Here !/5. Convolutional Neural Network (CNNs)/2. CNN Hands-on Lesson 2.mp4 58.2 MB
~Get Your Files Here !/5. Convolutional Neural Network (CNNs)/3. CNN Hands-on Lesson 3.mp4 40.6 MB
~Get Your Files Here !/8. Face Detection And Recognition/1. Face Detection.mp4 37.1 MB
~Get Your Files Here !/7. Depth Estimation/2. Depth Estimation - Lesson 2.mp4 35.6 MB
~Get Your Files Here !/5. Convolutional Neural Network (CNNs)/1. CNN Hands-on Lesson 1.mp4 31.3 MB
~Get Your Files Here !/7. Depth Estimation/1. Depth Estimation - Lesson 1.mp4 27.1 MB
~Get Your Files Here !/9. Object Detection With TensorFlow/2. Object Detection In TensorFlow - Lesson 2.mp4 26.4 MB
~Get Your Files Here !/8. Face Detection And Recognition/2. Face Recognition.mp4 26.3 MB
~Get Your Files Here !/1. Introduction/1. Introduction To Computer Vision - Lesson 1.mp4 25.3 MB
~Get Your Files Here !/6. Image Handling With Python/2. Edge And Contour Detection In Python.mp4 20.7 MB
~Get Your Files Here !/1. Introduction/2. Introduction To Computer Vision - Lesson 2.mp4 19.2 MB
~Get Your Files Here !/9. Object Detection With TensorFlow/1. Object Detection In TensorFlow - Lesson 1.mp4 17.3 MB
~Get Your Files Here !/6. Image Handling With Python/1. Image Processing With Python.mp4 14.4 MB

[磁力链接] 添加时间:2022-01-30 大小:883.1 MB 最近下载:2025-10-22 热度:1171

Packt Mastering Unsupervised Learning with Python

03.Manifold and Deep Learning for High-Dimensional Data/0304.Manifold Learning in Practice – Part 2.mp4 82.3 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0102.Alternatives to K-Means Clustering – Part 1.mp4 35.9 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0103.Alternatives to K-Means Clustering – Part 2.mp4 30.4 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0104.Agglomerative Clustering Finding Natural Hierarchies – Part 1.mp4 51.6 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0105.Agglomerative Clustering Finding Natural Hierarchies –Part 2.mp4 46.3 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0106.Density-Based Clustering DBSCAN and HDBSCAN – Part 1.mp4 39.5 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0107.Density-Based Clustering DBSCAN and HDBSCAN – Part 2.mp4 22.6 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0108.Gaussian Mixture Models.mp4 44.0 MB
02.Topic Modeling Semantic Content Recommendations/0201.Topic Modeling Overview – Part 1.mp4 36.1 MB
02.Topic Modeling Semantic Content Recommendations/0202.Topic Modeling Overview – Part 2.mp4 45.5 MB
02.Topic Modeling Semantic Content Recommendations/0203.Topic Modeling Preparing Your Data – Part 1.mp4 27.9 MB
02.Topic Modeling Semantic Content Recommendations/0204.Topic Modeling Preparing Your Data – Part 2.mp4 28.3 MB
02.Topic Modeling Semantic Content Recommendations/0205.Topic Modeling Running the Models – Part 1.mp4 29.7 MB
02.Topic Modeling Semantic Content Recommendations/0206.Topic Modeling Running the Models – Part 2.mp4 33.8 MB
02.Topic Modeling Semantic Content Recommendations/0207.Topic Modeling Evaluating and Visualizing Results.mp4 31.5 MB
03.Manifold and Deep Learning for High-Dimensional Data/0301.Manifold Learning Introduction – Part 1.mp4 27.3 MB
03.Manifold and Deep Learning for High-Dimensional Data/0302.Manifold Learning Introduction – Part 2.mp4 23.6 MB
03.Manifold and Deep Learning for High-Dimensional Data/0303.Manifold Learning in Practice – Part 1.mp4 27.7 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0101.The Course Overview.mp4 284 Bytes
03.Manifold and Deep Learning for High-Dimensional Data/0305.Visualize High-Dimensional Data t-SNE and UMAP – Part 1.mp4 29.8 MB

[磁力链接] 添加时间:2018-08-19 大小:874.5 MB 最近下载:2025-10-28 热度:2120