learning python -移花宫 -武林禁地，闲人禁止入内

Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (11.2023)

05 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.mp4 176.1 MB
04 - Gaussian Mixture Models (GMMs)/002 Write a Gaussian Mixture Model in Python Code.mp4 112.4 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.2 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.4 MB
05 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 78.3 MB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4 67.4 MB
02 - K-Means Clustering/020 K-Means Application Finding Clusters of Related Words.mp4 67.1 MB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4 58.8 MB
01 - Introduction to Unsupervised Learning/004 Why Use Clustering.mp4 57.5 MB
02 - K-Means Clustering/007 Hard K-Means Exercise 3 Solution.mp4 56.3 MB
01 - Introduction to Unsupervised Learning/001 Introduction.mp4 47.9 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 44.5 MB
03 - Hierarchical Clustering/004 Application Evolution.mp4 43.2 MB
03 - Hierarchical Clustering/005 Application Donald Trump vs. Hillary Clinton Tweets.mp4 42.7 MB
08 - Appendix FAQ Finale/002 BONUS.mp4 41.8 MB
02 - K-Means Clustering/012 Soft K-Means in Python Code.mp4 37.2 MB
02 - K-Means Clustering/003 Hard K-Means Exercise 1 Solution.mp4 32.0 MB
01 - Introduction to Unsupervised Learning/003 What is unsupervised learning used for.mp4 30.5 MB
04 - Gaussian Mixture Models (GMMs)/001 Gaussian Mixture Model (GMM) Algorithm.mp4 29.0 MB
02 - K-Means Clustering/022 Suggestion Box.mp4 28.4 MB

[磁力链接] 添加时间:2025-07-13 大小:1.7 GB 最近下载:2025-10-27 热度:97

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023]

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part1.rar 6.4 GB
[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part2.rar 6.4 GB
[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part3.rar 78.6 MB

[磁力链接] 添加时间:2023-12-21 大小:13.0 GB 最近下载:2025-10-27 热度:5455

Learning Data Structures & Algorithms in Python from Scratch

Learning Data Structures & Algorithms in Python from Scratch.zip 1.9 GB
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:2021-03-22 大小:1.9 GB 最近下载:2025-10-27 热度:3624

[FreeCourseSite.com] Udemy - Unsupervised Deep Learning in Python

12. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.mp4 134.8 MB
9. Applications to Recommender Systems/5. AutoRec in Code.mp4 107.3 MB
10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
10. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
10. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt 87.0 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.mp4 87.0 MB
10. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4 73.8 MB
9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4 71.5 MB
10. Basics Review/6. (Review) Keras in Code pt 1.mp4 69.4 MB
2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4 56.3 MB
2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4 53.8 MB
2. Principal Components Analysis/2. How does PCA work.mp4 53.4 MB
5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4 51.5 MB
9. Applications to Recommender Systems/4. AutoRec.mp4 51.3 MB
5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4 50.1 MB

[磁力链接] 添加时间:2021-03-21 大小:3.1 GB 最近下载:2025-10-27 热度:1405

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:2025-10-27 热度:5754

A deep understanding of deep learning (with Python intro)

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/013 Multi-output ANN (iris dataset).mp4 195.8 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/004 Dropout regularization in practice.mp4 192.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/003 Convolution in code.mp4 181.5 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/009 Learning rates comparison.mp4 176.8 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/003 FFN to classify digits.mp4 169.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/007 Data feature augmentation.mp4 166.0 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/004 Project 2_ My solution.mp4 163.3 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.mp4 160.8 MB

[磁力链接] 添加时间:2022-03-14 大小:22.9 GB 最近下载:2025-10-27 热度:8476

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

[ DevCourseWeb.com ] Machine Learning with PyTorch and Scikit-Learn - Develop machine learning and deep learning models with Python

~Get Your Files Here !/9781801819312_Code/git/objects/pack/pack-0f48181b8b0c051c40c7d403bfb95ecde41a358a.pack 164.0 MB
~Get Your Files Here !/9781801819312_Code/ch08/movie_data.csv 65.9 MB
~Get Your Files Here !/9781801819312.epub 63.5 MB
~Get Your Files Here !/9781801819312-MACHINELEARNINGWITHPYTORCHANDSCIKITLEARN.pdf 30.7 MB
~Get Your Files Here !/9781801819312_Code/ch18/ch18_part1.ipynb 11.8 MB
~Get Your Files Here !/9781801819312_Code/ch17/ch17_part1.ipynb 7.4 MB
~Get Your Files Here !/9781801819312_Code/ch16/ch16-part2-gpt2.ipynb 7.0 MB
~Get Your Files Here !/9781801819312_Code/ch16/ch16-part1-self-attention.ipynb 6.1 MB
~Get Your Files Here !/9781801819312_Code/ch01/ch01.ipynb 6.0 MB
~Get Your Files Here !/9781801819312_Code/ch19/ch19.ipynb 5.0 MB
~Get Your Files Here !/9781801819312_Code/ch11/ch11.ipynb 5.0 MB
~Get Your Files Here !/9781801819312_Code/ch03/ch03.ipynb 3.7 MB
~Get Your Files Here !/9781801819312_Code/ch07/ch07.ipynb 3.6 MB
~Get Your Files Here !/9781801819312_Code/ch06/ch06.ipynb 3.2 MB
~Get Your Files Here !/9781801819312_Code/ch02/ch02.ipynb 3.0 MB
~Get Your Files Here !/9781801819312_Code/ch14/ch14_part2.ipynb 2.7 MB
~Get Your Files Here !/9781801819312_Code/ch17/ch17_part2.ipynb 2.6 MB
~Get Your Files Here !/9781801819312_Code/ch18/ch18_part2.ipynb 2.6 MB
~Get Your Files Here !/9781801819312_Code/ch17/figures/17_02.png 2.3 MB
~Get Your Files Here !/9781801819312_Code/ch04/ch04.ipynb 2.1 MB

[磁力链接] 添加时间:2022-03-16 大小:484.0 MB 最近下载:2025-10-27 热度:5916

GetFreeCourses.Co-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:2021-03-20 大小:7.3 GB 最近下载:2025-10-27 热度:1241

Udemy - Machine Learning & Deep Learning in Python & R (11.2021)

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:2025-05-22 大小:13.5 GB 最近下载:2025-10-27 热度:602

[ CourseWikia.com ] Udemy - Mastering OCR using Deep Learning and OpenCV-Python.zip

[ CourseWikia.com ] Udemy - Mastering OCR using Deep Learning and OpenCV-Python.zip 816.9 MB

[磁力链接] 添加时间:2021-03-29 大小:816.9 MB 最近下载:2025-10-27 热度:5080

2019 AWS SageMaker and Machine Learning - With Python

2019 AWS SageMaker and Machine Learning - With Python.zip 4.5 GB
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:2021-03-12 大小:4.5 GB 最近下载:2025-10-27 热度:3748

Udemy - Learning Python for Data Analysis and Visualization (2015)

08 Data Visualization/049 Combining Plot Styles.mp4 12.2 MB
08 Data Visualization/047 Histograms.mp4 21.2 MB
08 Data Visualization/051 Regression Plots.mp4 36.5 MB
08 Data Visualization/048 Kernel Density Estimate Plots.mp4 64.9 MB
08 Data Visualization/050 Box and Violin Plots.mp4 19.2 MB
08 Data Visualization/046 Installing Seaborn.mp4 7.6 MB
08 Data Visualization/052 Heatmaps and Clustered Matrices.mp4 40.9 MB
14 Appendix D Web Scraping with Python/104 Web Scraping Part 2.mp4 46.0 MB
14 Appendix D Web Scraping with Python/103 Web Scraping Part 1.mp4 39.1 MB
07 Working with Data Part 3/042 GroupBy on Dict and Series.mp4 24.4 MB
07 Working with Data Part 3/045 Cross Tabulation.mp4 9.3 MB
07 Working with Data Part 3/044 Splitting Applying and Combining.mp4 23.2 MB
07 Working with Data Part 3/041 GroupBy on DataFrames.mp4 38.1 MB
07 Working with Data Part 3/043 Aggregation.mp4 45.9 MB
01 Intro to Course and Python/001 Course Intro.mp4 12.0 MB
01 Intro to Course and Python/002 Resources for Learning Python.mp4 3.9 MB
13 Appendix C SQL and Python/100 Introduction to SQL with Python.mp4 45.9 MB
13 Appendix C SQL and Python/101 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4 33.9 MB
13 Appendix C SQL and Python/102 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 29.5 MB
09 Example Projects/054 Intro to Data Projects.mp4 19.6 MB

[磁力链接] 添加时间:2017-02-11 大小:3.5 GB 最近下载:2025-10-27 热度:4269

Cluster Analysis and Unsupervised Machine Learning in Python

Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.mp4 65.8 MB
Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.mp4 52.8 MB
Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.mp4 47.8 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 43.6 MB
Chapter 5 Hierarchical Clustering/004. Application Evolution.mp4 39.5 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.mp4 37.2 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.mp4 31.9 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.mp4 30.6 MB
Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.mp4 30.4 MB
Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.mp4 29.9 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).mp4 29.5 MB
Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.mp4 25.9 MB
Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).mp4 24.5 MB
Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).mp4 23.2 MB

[磁力链接] 添加时间:2024-07-27 大小:1.3 GB 最近下载:2025-10-27 热度:4373

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Numpy (New)/7. Generating Data.mp4 66.3 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.5 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
2. Numpy (New)/3. Dot Product.mp4 27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
5. Scipy (New)/3. Convolution.mp4 22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB

[磁力链接] 添加时间:2022-05-12 大小:1.2 GB 最近下载:2025-10-27 热度:744

Coursera - Applied Machine Learning in Python

03_module-3/01_module-3-evaluation/01_model-evaluation-selection.mp4 33.3 MB
02_module-2/01_module-2-supervised-machine-learning/05_linear-regression-least-squares.mp4 31.8 MB
02_module-2/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.mp4 30.7 MB
02_module-2/01_module-2-supervised-machine-learning/12_decision-trees.mp4 28.8 MB
04_module-4/01_module-4-supervised-machine-learning-part-2/05_neural-networks.mp4 28.4 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/07_k-nearest-neighbors-classification.mp4 28.2 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/03_key-concepts-in-machine-learning.mp4 24.9 MB
03_module-3/01_module-3-evaluation/08_model-selection-optimizing-classifiers-for-different-evaluation-metrics.mp4 21.0 MB
04_module-4/01_module-4-supervised-machine-learning-part-2/08_data-leakage.mp4 20.1 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/05_an-example-machine-learning-problem.mp4 20.0 MB
02_module-2/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.mp4 19.9 MB
02_module-2/01_module-2-supervised-machine-learning/08_linear-classifiers-support-vector-machines.mp4 19.2 MB
02_module-2/01_module-2-supervised-machine-learning/04_k-nearest-neighbors-classification-and-regression.mp4 18.7 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/02_introduction.mp4 18.3 MB
04_module-4/01_module-4-supervised-machine-learning-part-2/03_random-forests.mp4 18.3 MB
03_module-3/01_module-3-evaluation/05_multi-class-evaluation.mp4 17.5 MB
02_module-2/01_module-2-supervised-machine-learning/07_logistic-regression.mp4 17.2 MB
03_module-3/01_module-3-evaluation/02_confusion-matrices-basic-evaluation-metrics.mp4 17.0 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/06_examining-the-data.mp4 16.4 MB
02_module-2/01_module-2-supervised-machine-learning/02_overfitting-and-underfitting.mp4 16.3 MB

[磁力链接] 添加时间:2024-04-03 大小:566.7 MB 最近下载:2025-10-27 热度:938

[ DevCourseWeb.com ] Udemy - Computer Vision and Deep Learning A-Z - Opencv Pytorch python

~Get Your Files Here !/5. Object Detecting and tracking/3. Automatic Number Plate Detection and Recognition.mp4 53.7 MB
~Get Your Files Here !/3. Image Similarity Calculation/1. Image Similarity Calculation Code Implementation.mp4 47.8 MB
~Get Your Files Here !/5. Object Detecting and tracking/4. Face Detection using harcaschade.mp4 43.8 MB
~Get Your Files Here !/2. Basic Image Processing Operations/4. Customize Shape Drawing fillConvexPoly, fillPoly.mp4 40.3 MB
~Get Your Files Here !/4. Morphological image processing/1. Erosion and Dilation of images.mp4 37.8 MB
~Get Your Files Here !/2. Basic Image Processing Operations/1. Drawing With OpenCV.mp4 31.4 MB
~Get Your Files Here !/1. Introduction/5. ReadFeedFromVideo.mp4 22.7 MB
~Get Your Files Here !/5. Object Detecting and tracking/1. Find and Determine the shape of object using Contours in OpenCV.mp4 22.1 MB
~Get Your Files Here !/1. Introduction/4. Read Feed From Camara.mp4 21.0 MB
~Get Your Files Here !/5. Object Detecting and tracking/2. Image Masking.mp4 20.8 MB
~Get Your Files Here !/2. Basic Image Processing Operations/2. ImageTranslation.mp4 19.0 MB
~Get Your Files Here !/1. Introduction/1. What is an Image.mp4 18.6 MB
~Get Your Files Here !/1. Introduction/3. Converting Image to GayImage.mp4 15.5 MB
~Get Your Files Here !/1. Introduction/2. Reading an Image.mp4 10.2 MB
~Get Your Files Here !/2. Basic Image Processing Operations/3. ImageRotation.mp4 10.0 MB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_frontalface_alt_tree.xml 2.7 MB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_frontalface_default.xml 930.1 kB
~Get Your Files Here !/5. Object Detecting and tracking/carnumberplate/Cars2.png 913.9 kB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_profileface.xml 828.5 kB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_upperbody.xml 785.8 kB

[磁力链接] 添加时间:2022-04-06 大小:428.1 MB 最近下载:2025-10-27 热度:5026

[ FreeCourseWeb.com ] Coursera - Machine Learning with Python.zip

[ FreeCourseWeb.com ] Coursera - Machine Learning with Python.zip 332.2 MB

[磁力链接] 添加时间:2022-01-17 大小:332.2 MB 最近下载:2025-10-27 热度:1230

[ DevCourseWeb.com ] Udemy - Hands-On Machine Learning with scikit-learn and Python.zip

[ DevCourseWeb.com ] Udemy - Hands-On Machine Learning with scikit-learn and Python.zip 1.6 GB

[磁力链接] 添加时间:2021-05-02 大小:1.6 GB 最近下载:2025-10-27 热度:2674

[FreeCourseSite.com] Udemy - Algorithmic Trading A-Z with Python, Machine Learning & AWS

30 - A Machine Learning-powered Strategy A-Z (DNN)/013 Implementation (Oanda & FXCM).mp4 104.0 MB
32 - Adding Stop Loss and Take Profit to the Trading Bot/014 IBKR How to create Stop Loss and Take Profit Orders.mp4 94.1 MB
08 - API Trading with Python and Online Brokers- an Introduction/019 IBKR Creating Orders (Stock Trading).mp4 90.8 MB
23 - Implementation and Automation with OANDA (UPDATED!)/017 Trade Monitoring and Reporting.mp4 85.6 MB
03 - Day Trading with OANDA A-Z a Deep Dive/001 OANDA at a first glance.mp4 85.5 MB
12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/004 Initial Inspection and Visualization.mp4 82.3 MB
14 - Object Oriented Programming (OOP) Creating a Financial Analysis Class/012 Inheritance.mp4 79.9 MB
24 - Implementation and Automation with IBKR/010 Trade Monitoring and Reporting.mp4 79.6 MB
12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/003 Loading Financial Data from the Web.mp4 78.0 MB
06 - Installing Python and Jupyter Notebooks/003 How to open Jupyter Notebooks.mp4 77.2 MB
32 - Adding Stop Loss and Take Profit to the Trading Bot/011 Oanda Adding Stop Loss & Take Profit.mp4 75.3 MB
20 - Trading Strategies powered by Machine Learning - Classification/007 Generalization with OOP A Classification Backtesting Class in action.mp4 72.7 MB
12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/021 (Non-) Normality of Financial Returns.mp4 72.5 MB
07 - Excursus How to avoid and debug Coding Errors (don´t skip!)/011 How to traceback more complex Errors.mp4 71.5 MB
04 - Stocks and FOREX Trading with Interactive Brokers (IBKR)/008 Trading Costs (Stocks) - Commissions.mp4 70.8 MB
03 - Day Trading with OANDA A-Z a Deep Dive/008 Margin and Leverage.mp4 70.7 MB
12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/020 Comparing the Performance of Financial Instruments.mp4 70.7 MB
36 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/056 Customization of Plots.mp4 69.1 MB
23 - Implementation and Automation with OANDA (UPDATED!)/004 Historical Data, real-time Data and Orders (Recap).mp4 66.5 MB
08 - API Trading with Python and Online Brokers- an Introduction/017 IBKR Contracts (advanced).mp4 65.0 MB

[磁力链接] 添加时间:2023-12-17 大小:12.7 GB 最近下载:2025-10-27 热度:9778