learning python -移花宫 -武林禁地，闲人禁止入内

[ DevCourseWeb.com ] Udemy - Machine Learning with Complete Python(A-Z) with project.zip

[ DevCourseWeb.com ] Udemy - Machine Learning with Complete Python(A-Z) with project.zip 2.1 GB

[磁力链接] 添加时间:2021-04-30 大小:2.1 GB 最近下载:2025-09-10 热度:127

unsupervised-deep-learning-in-python

07 Extras Visualizing what features a neural network has learned/028 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 2.3 MB
04 Autoencoders/019 Deep Autoencoder Visualization Description.mp4 2.6 MB
01 Introduction and Outline/001 Introduction and Outline.mp4 3.4 MB
04 Autoencoders/013 Denoising Autoencoders.mp4 3.6 MB
02 Principal Components Analysis/007 PCA objective function.mp4 3.9 MB
07 Extras Visualizing what features a neural network has learned/027 Exercises on feature visualization and interpretation.mp4 3.9 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/030 BONUS Application of PCA and SVD to NLP Natural Language Processing.mp4 4.1 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp4 4.6 MB
05 Restricted Boltzmann Machines/023 Contrastive Divergence for RBM Training.mp4 5.1 MB
01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4 5.4 MB
06 The Vanishing Gradient Problem/025 The Vanishing Gradient Problem Description.mp4 5.5 MB
04 Autoencoders/012 Autoencoders.mp4 6.1 MB
04 Autoencoders/014 Stacked Autoencoders.mp4 6.9 MB
02 Principal Components Analysis/005 PCA derivation.mp4 7.0 MB
04 Autoencoders/018 Cross Entropy vs. KL Divergence.mp4 7.8 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp4 8.3 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp4 9.8 MB
05 Restricted Boltzmann Machines/022 Deriving Conditional Probabilities from Joint Probability.mp4 9.8 MB
02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4 9.8 MB
01 Introduction and Outline/003 How to Succeed in this Course.mp4 10.0 MB

[磁力链接] 添加时间:2017-05-30 大小:490.2 MB 最近下载:2025-09-10 热度:180

[ FreeCourseWeb.com ] Udemy - Python for Data Science and Machine Learning beginners.zip

[ FreeCourseWeb.com ] Udemy - Python for Data Science and Machine Learning beginners.zip 2.8 GB

[磁力链接] 添加时间:2022-01-21 大小:2.8 GB 最近下载:2025-09-10 热度:654

[UdemyCourseDownloader] Python 3 Bootcamp Deep learning into Python 3 with GUIs

23. Example Python GUI projects (Part 2)/1. Application for calculation of an Area of a Circle in Python GUI.mp4 112.4 MB
23. Example Python GUI projects (Part 2)/3. Application for calculation of an Area of a Triangle in Python GUI.mp4 111.1 MB
23. Example Python GUI projects (Part 2)/2. Application for calculation of an Area of a Rectangle in Python GUI.mp4 107.6 MB
03. Programming with PyCharm/1. Download and Installation of PyCharm.mp4 91.2 MB
07. Functions and Modules/3. User define functions.mp4 88.5 MB
20. RadioButtons in Python GUI/3. How to add more functionality to RadioButton.mp4 87.7 MB
07. Functions and Modules/5. Round up of Functions and Modules.mp4 86.4 MB
06. Sequences in Python/1. List [ ] in Python.mp4 85.5 MB
05. Loop systems in Python/5. String properties in Python.mp4 69.2 MB
07. Functions and Modules/7. Example of Time module.mp4 65.8 MB
03. Programming with PyCharm/2. How to use PyCharm for Python programming.mp4 63.5 MB
22. Data Entry/2. How to delete an entry in Data Entry block.mp4 60.1 MB
20. RadioButtons in Python GUI/1. RadioButtons in GUI.mp4 58.4 MB
20. RadioButtons in Python GUI/2. More on RadioButtons.mp4 56.0 MB
21. Checkboxes in Python/2. How to get the values of Checkboxes.mp4 54.9 MB
21. Checkboxes in Python/3. How to print out selected items from checkbox.mp4 53.4 MB
05. Loop systems in Python/1. for loop in Python.mp4 51.5 MB
01. Programming with Python Shell/4. How to prevent auto-close in Python Shell.mp4 49.8 MB
25. Graphics Designs and Images in Python GUI/1. How to make graphics design in Python GUI.mp4 49.7 MB
22. Data Entry/1. How to create data entry blocks.mp4 49.2 MB

[磁力链接] 添加时间:2022-01-16 大小:2.9 GB 最近下载:2025-09-10 热度:96

Learning Python for Data Analysis and Visualization

Torrent downloaded from demonoid.pw.txt 46 Bytes
Torrent Downloaded From ExtraTorrent.cc.txt 352 Bytes
Learning Python for Data Analysis.tgz 3.3 GB

[磁力链接] 添加时间:2017-02-11 大小:3.3 GB 最近下载:2025-09-09 热度:991

[ FreeCourseWeb.com ] Udemy - Python Numpy - Machine Learning & Data Science Course.zip

[ FreeCourseWeb.com ] Udemy - Python Numpy - Machine Learning & Data Science Course.zip 1.4 GB

[磁力链接] 添加时间:2022-02-06 大小:1.4 GB 最近下载:2025-09-09 热度:217

ZERO TO DEEP LEARNING WITH PYTHON AND KERAS

ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/[FreeTutorials.Us].txt 75 Bytes
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/Freetutorials.Us.url 119 Bytes
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/09-improving-performance/133-exercise-2-solution.html 331 Bytes
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/09-improving-performance/132-exercise-1-solution.html 331 Bytes
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/08-recurrent-neural-networks/118-exercise-2-solution.html 331 Bytes
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/08-recurrent-neural-networks/110-vanishing-gradients.html 331 Bytes
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/01-welcome-to-the-course/001-introduction.html 1.0 kB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/01-welcome-to-the-course/005-obtain-the-code-for-the-course.html 1.5 kB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/07-cloud-gpus/107-floyd-gpu-notebook-setup.html 2.7 kB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/02-data/021-exercise-4-presentation.mp4 1.6 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/02-data/019-exercise-3-presentation.mp4 1.8 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/02-data/017-exercise-2-presentation.mp4 2.0 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/04-deep-learning-intro/060-exercise-4-presentation.mp4 2.0 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/02-data/023-exercise-5-presentation.mp4 2.2 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/05-gradient-descent/080-exercise-2-presentation.mp4 2.5 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/04-deep-learning-intro/058-exercise-3-presentation.mp4 3.0 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/05-gradient-descent/082-exercise-3-presentation.mp4 3.1 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/04-deep-learning-intro/056-exercise-2-presentation.mp4 3.2 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/06-convolutional-neural-networks/099-pooling-layers.mp4 3.2 MB
ZERO TO DEEP LEARNING WITH PYTHON AND KERAS/[FreeTutorials.Us] zero-to-deep-learning/02-data/015-exercise-1-presentation.mp4 3.4 MB

[磁力链接] 添加时间:2018-02-22 大小:1.6 GB 最近下载:2025-09-09 热度:306

Packt Publishing - Deep Dive into Python Machine Learning

Packt Publishing - Deep Dive into Python Machine Learning.iso 3.0 GB
More_info.txt 287 Bytes

[磁力链接] 添加时间:2017-02-10 大小:3.0 GB 最近下载:2025-09-09 热度:244

deep-reinforcement-learning-in-python

03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
04 TD Lambda/028 TD Lambda Summary.mp4 3.8 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
07 Appendix/045 Where to get Udemy coupons and FREE deep learning material.mp4 4.2 MB
02 Background Review/004 Review Intro.mp4 4.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
04 TD Lambda/024 N-Step Methods.mp4 5.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp4 5.3 MB
01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp4 5.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
06 Deep Q-Learning/036 Deep Q-Learning Intro.mp4 6.2 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp4 6.2 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
05 Policy Gradients/033 Mountain Car Continuous Specifics.mp4 6.8 MB
02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
05 Policy Gradients/032 Continuous Action Spaces.mp4 6.9 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
06 Deep Q-Learning/043 Partially Observable MDPs.mp4 8.0 MB

[磁力链接] 添加时间:2017-05-30 大小:506.4 MB 最近下载:2025-09-09 热度:115

[GigaCourse.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

[磁力链接] 添加时间:2022-02-09 大小:1.2 GB 最近下载:2025-09-09 热度:232

Zero to Deep Learning - with Python and Keras

01-welcome-to-the-course/github link.txt 59 Bytes
[FreeTutorials.Us].txt 75 Bytes
Freetutorials.Us.url 119 Bytes
08-recurrent-neural-networks/110-vanishing-gradients.html 331 Bytes
08-recurrent-neural-networks/118-exercise-2-solution.html 331 Bytes
09-improving-performance/132-exercise-1-solution.html 331 Bytes
09-improving-performance/133-exercise-2-solution.html 331 Bytes
01-welcome-to-the-course/001-introduction.html 1.0 kB
01-welcome-to-the-course/005-obtain-the-code-for-the-course.html 1.5 kB
07-cloud-gpus/107-floyd-gpu-notebook-setup.html 2.7 kB
FreeTutorials.Us-zero-to-deep-learning.torrent 42.5 kB
Capture.JPG 97.5 kB
02-data/021-exercise-4-presentation.mp4 1.6 MB
02-data/019-exercise-3-presentation.mp4 1.8 MB
02-data/017-exercise-2-presentation.mp4 2.0 MB
04-deep-learning-intro/060-exercise-4-presentation.mp4 2.0 MB
02-data/023-exercise-5-presentation.mp4 2.2 MB
05-gradient-descent/080-exercise-2-presentation.mp4 2.5 MB
04-deep-learning-intro/058-exercise-3-presentation.mp4 3.0 MB
05-gradient-descent/082-exercise-3-presentation.mp4 3.1 MB

[磁力链接] 添加时间:2018-07-25 大小:1.6 GB 最近下载:2025-09-08 热度:328

[FreeTutorials.Us] unsupervised-machine-learning-hidden-markov-models-in-python

01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4 7.1 MB
01 Introduction and Outline/002 Unsupervised or Supervised.mp4 5.5 MB
01 Introduction and Outline/003 Where to get the Code and Data.mp4 2.2 MB
01 Introduction and Outline/004 How to Succeed in this Course.mp4 9.2 MB
02 Markov Models/005 The Markov Property.mp4 8.7 MB
02 Markov Models/006 Markov Models.mp4 8.6 MB
02 Markov Models/007 The Math of Markov Chains.mp4 9.5 MB
03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp4 5.8 MB
03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp4 4.9 MB
03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4 16.6 MB
03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp4 9.1 MB
04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp4 10.7 MB
04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp4 3.3 MB
04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp4 7.7 MB
04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp4 7.1 MB
04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp4 6.3 MB
04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp4 5.3 MB
04 Hidden Markov Models for Discrete Observations/019 Visual Intuition for the Viterbi Algorithm.mp4 6.0 MB
04 Hidden Markov Models for Discrete Observations/020 The Baum-Welch Algorithm.mp4 4.6 MB

[磁力链接] 添加时间:2017-08-19 大小:744.9 MB 最近下载:2025-09-07 热度:645

[GigaCourse.Com] Udemy - Python for Machine Learning The Complete Beginner's Course

3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.mp4 30.3 MB
4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.mp4 20.6 MB
8. Recommender System/6. Sorting by title and rating.mp4 20.3 MB
7. Clustering/6. Implementation in python.mp4 19.9 MB
3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.mp4 18.7 MB
5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.mp4 17.8 MB
1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.mp4 15.0 MB
6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.mp4 14.1 MB
3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.mp4 14.0 MB
8. Recommender System/13. Correlation between the most-rated movies.mp4 13.9 MB
2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.mp4 13.9 MB
6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.mp4 13.8 MB
7. Clustering/14. 3D Visualization of the predicted values.mp4 13.5 MB
7. Clustering/10. Importing the dataset.mp4 13.4 MB
8. Recommender System/17. Repeating the process for another movie.mp4 13.3 MB
4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.mp4 13.1 MB
7. Clustering/11. Visualizing the dataset.mp4 13.0 MB
3. Multiple Linear Regression/8. Root Mean Squared Error in Python.mp4 12.4 MB
8. Recommender System/10. Data pre-processing.mp4 11.3 MB
6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.mp4 11.3 MB

[磁力链接] 添加时间:2022-05-01 大小:718.6 MB 最近下载:2025-09-07 热度:480

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

8. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
9. Extra Help With Python Coding for Beginners/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
1. Start Here/3. Statistics vs. Machine Learning.mp4 58.4 MB
8. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
10. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
11. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
10. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
1. Start Here/2. How to Succeed in this Course.mp4 29.3 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
2/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
9. Extra Help With Python Coding for Beginners/2. 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. Background Review/1. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
2/9. Moore's Law Derivation.mp4 21.2 MB
2/5. Determine how good the model is - r-squared.mp4 20.7 MB
2/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB

[磁力链接] 添加时间:2021-03-29 大小:1.2 GB 最近下载:2025-09-07 热度:772

[ TutGee.com ] Udemy - Supervised Machine Learning in Python.zip

[ TutGee.com ] Udemy - Supervised Machine Learning in Python.zip 3.8 GB

[磁力链接] 添加时间:2024-02-26 大小:3.8 GB 最近下载:2025-09-06 热度:409

Learn Data Mining & Machine Learning with Python

[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/024 Create Multiple Linear Regression Model in Python-Part 3.mp4 96.6 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/06 - Appendix Statistics Overview/022 Calculate Confidence Interval in Excel.mp4 82.5 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/02 - Setup Programming Environment/006 Introduction to Pandas Library.mp4 69.3 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/037 Create Logistic Regression Model in Python-Part 1.mp4 66.1 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/025 Create Multiple Linear Regression Model in Python-Part 4.mp4 64.7 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/005 Create Hierarchical Clustering Algorithm in Python-1.mp4 63.7 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/05 - Deep Learning/008 Create Artificial Neural Network Model in Python Part-2.mp4 63.2 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/029 Create Polynomial Regression Model in Python-Part 2.mp4 60.4 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/015 Create Simple Linear Regression Model in Python-Part 5.mp4 59.7 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/006 Create Hierarchical Clustering Algorithm in Python-2.mp4 58.8 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/009 Create K-means Clustering Algorithm Model in Python - 1.mp4 57.7 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/011 Association Rules (Market Basket Analysis).mp4 54.8 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/040 Create KNN Model in Python.mp4 54.5 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/023 Create Multiple Linear Regression Model in Python-Part 2.mp4 53.5 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/04 - Unsupervised Learning Algorithms/008 Using Elbow Method to Determine Optimal Number of Clusters.mp4 51.2 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/028 Create Polynomial Regression Model in Python-Part 1.mp4 51.2 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/042 Create Support Vector Machine in Python.mp4 48.1 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/03 - Supervised Learning Algorithms/038 Create Logistic Regression Model in Python-Part 2.mp4 46.9 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/05 - Deep Learning/004 Activation Functions.mp4 45.2 MB
[TutsNode.com] - Learn Data Mining & Machine Learning with Python/05 - Deep Learning/007 Create Artificial Neural Network Model in Python Part-1.mp4 45.1 MB

[磁力链接] 添加时间:2024-05-18 大小:3.5 GB 最近下载:2025-09-06 热度:187

[FreeCourseSite.com] Udemy - Machine Learning with SciKit-Learn with Python

9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
6. Pandas/6. Remove Operations.mp4 123.1 MB
9. Cross Validation/5. PCA Pipeline.mp4 122.9 MB
9. Cross Validation/1. Cross Validation.mp4 117.4 MB
5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
9. Cross Validation/15. Language Identifcation.mp4 97.4 MB
9. Cross Validation/9. Text Data Example.mp4 94.2 MB
3. NumPy Array/8. Stacking Together Different Arrays.mp4 89.7 MB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
6. Pandas/3. Data Structure in Pandas.mp4 88.0 MB
6. Pandas/5. Pandas Column Select.mp4 83.4 MB
3. NumPy Array/3. NumPy Array Operations.mp4 82.3 MB

[磁力链接] 添加时间:2022-02-07 大小:3.9 GB 最近下载:2025-09-06 热度:844

[UdemyCourseDownloader] Complete Guide to TensorFlow for Deep Learning with Python

01. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
01. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
06. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
07. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
05. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
09. 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
08. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
08. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
07. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
08. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
08. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
09. 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
06. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
04. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
06. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
03. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

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