learning python -移花宫 -武林禁地，闲人禁止入内

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science with Python A-Z

4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB

[磁力链接] 添加时间:2022-02-18 大小:3.3 GB 最近下载:2025-10-25 热度:1221

[GigaCourse.Com] Udemy - A deep understanding of deep learning (with Python intro)

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

[磁力链接] 添加时间:2022-03-18 大小:22.7 GB 最近下载:2025-10-25 热度:212

[FreeCourseSite.com] Udemy - Autonomous Cars Deep Learning and Computer Vision in Python

9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 402.9 MB
8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 214.0 MB
11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 183.8 MB
6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 177.7 MB
4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 175.0 MB
9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 158.6 MB
11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 157.9 MB
3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 153.8 MB
2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 153.0 MB
5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 148.4 MB
4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 141.9 MB
10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 141.1 MB
9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 134.0 MB
8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 125.5 MB
9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 125.5 MB
4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 124.5 MB
5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 122.7 MB
8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 122.5 MB
4. Computer Vision Basics Part 1/8. Color Spaces.mp4 119.2 MB
9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 117.0 MB

[磁力链接] 添加时间:2021-03-26 大小:7.9 GB 最近下载:2025-10-25 热度:1945

[ FreeCourseWeb ] Udemy - Computer Vision Intro OpenCV4 in Python with Deep Learning (Updated).rar

[ FreeCourseWeb ] Udemy - Computer Vision Intro OpenCV4 in Python with Deep Learning (Updated).rar 3.0 GB

[磁力链接] 添加时间:2022-01-24 大小:3.0 GB 最近下载:2025-10-25 热度:565

[FreeTutorials.Us] Udemy - Deep Learning Convolutional Neural Networks in Python

1. Outline and Review/1. Introduction and Outline.mp4 3.1 MB
1. Outline and Review/1. Introduction and Outline.srt 3.6 kB
1. Outline and Review/2. Review of Important Concepts.mp4 6.0 MB
1. Outline and Review/2. Review of Important Concepts.srt 6.5 kB
1. Outline and Review/3. Where to get the code and data for this course.mp4 5.9 MB
1. Outline and Review/3. Where to get the code and data for this course.srt 5.0 kB
1. Outline and Review/4. How to Succeed in this Course.mp4 6.7 MB
1. Outline and Review/4. How to Succeed in this Course.srt 4.4 kB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.srt 6.1 kB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.mp4 10.6 MB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.srt 4.5 kB
2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
2. Convolution/1. Real-Life Examples of Convolution.srt 9.5 kB
2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
2. Convolution/2. Beginner's Guide to Convolution.srt 8.4 kB
2. Convolution/3. What is convolution.mp4 9.0 MB
2. Convolution/3. What is convolution.srt 9.6 kB
2. Convolution/4. Convolution example with audio Echo.mp4 12.7 MB
2. Convolution/4. Convolution example with audio Echo.srt 6.9 kB

[磁力链接] 添加时间:2018-09-22 大小:1.1 GB 最近下载:2025-10-25 热度:3112

[FreeCourseLab.com] Udemy - Machine Learning & Deep Learning in Python & R

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:2024-01-27 大小:14.1 GB 最近下载:2025-10-25 热度:1301

[FreeCourseLab.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning

1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
4. Image Processing/5. Image Thresholding.mp4 145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
4. Image Processing/9. Gradients.mp4 118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
4. Image Processing/8. Morphological Operators.mp4 101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB

[磁力链接] 添加时间:2021-03-23 大小:6.2 GB 最近下载:2025-10-25 热度:1819

[DesireCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

[DesireCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 6.7 GB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

[磁力链接] 添加时间:2018-11-08 大小:6.7 GB 最近下载:2025-10-25 热度:1504

[DesireCourse.Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

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
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
6. Appendix/13. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.5 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
6. Appendix/6. 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/5. K-Nearest Neighbor and Decision Tree Demo.mp4 14.5 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 13.6 MB
6. Appendix/2. Confidence Intervals.mp4 13.2 MB
4. Random Forest/3. Random Forest Classifier.mp4 13.2 MB
5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.mp4 11.7 MB

[磁力链接] 添加时间:2021-03-15 大小:866.4 MB 最近下载:2025-10-25 热度:1135

Skill Up with Python Data Science and Machine Learning Recipes

Lesson 2 Perform Sentiment Analysis/004. 2.3 Incorporate Sentiment Analysis into an application.mp4 54.7 MB
Lesson 1 Manipulate and Visualize Data in Jupyter/005. 1.4 Visualize data.mp4 51.2 MB
Lesson 2 Perform Sentiment Analysis/005. 2.4 Analyze with real-world data.mp4 45.8 MB
Lesson 1 Manipulate and Visualize Data in Jupyter/002. 1.1 Get started with Jupyter Notebooks.mp4 41.3 MB
Lesson 1 Manipulate and Visualize Data in Jupyter/003. 1.2 Load data into Jupyter.mp4 40.9 MB
Lesson 3 Work with Image Recognition/004. 3.3 Incorporate image recognition into an application.mp4 39.6 MB
Lesson 4 Scrape Data from the Internet/005. 4.4 Modify web-scraping logic for other websites.mp4 39.5 MB
Lesson 1 Manipulate and Visualize Data in Jupyter/004. 1.3 Manipulate data with Pandas.mp4 34.2 MB
Lesson 4 Scrape Data from the Internet/003. 4.2 Learn the basics of the Beautiful Soup Library.mp4 33.1 MB
Introduction/001. Skill Up with Python Introduction.mp4 31.6 MB
Lesson 4 Scrape Data from the Internet/004. 4.3 Format and use scraped data.mp4 31.1 MB
Lesson 2 Perform Sentiment Analysis/002. 2.1 Learn about Sentiment Analysis Tools in Python.mp4 30.3 MB
Lesson 3 Work with Image Recognition/003. 3.2 Learn the basics of OpenCV.mp4 25.7 MB
Lesson 3 Work with Image Recognition/002. 3.1 Learn about Image Recognition tools in Python.mp4 22.2 MB
Lesson 2 Perform Sentiment Analysis/003. 2.2 Learn the basics of NLTK.mp4 22.1 MB
Lesson 4 Scrape Data from the Internet/002. 4.1 Learn about web-scraping tools in Python.mp4 16.9 MB
Summary/001. Skill Up with Python Summary.mp4 13.1 MB
Lesson 4 Scrape Data from the Internet/001. Learning objectives.mp4 8.4 MB
Lesson 3 Work with Image Recognition/001. Learning objectives.mp4 8.3 MB
Lesson 2 Perform Sentiment Analysis/001. Learning objectives.mp4 7.8 MB

[磁力链接] 添加时间:2024-03-23 大小:606.7 MB 最近下载:2025-10-25 热度:8865

[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 131.0 MB
08 - Spam Detection/006 Spam Detection in Python.mp4 112.8 MB
06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 110.3 MB
02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4 106.9 MB
05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 100.6 MB
02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4 83.7 MB
05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4 79.0 MB
02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp4 78.5 MB
02 - Vector Models and Text Preprocessing/006 Tokenization.mp4 77.1 MB
01 - Introduction/001 Introduction and Outline.mp4 76.5 MB
04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp4 75.7 MB
02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp4 70.1 MB
06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp4 68.7 MB
09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp4 66.7 MB
01 - Introduction/002 Where to get the Code.mp4 66.0 MB
04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp4 65.9 MB
08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 63.1 MB
02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp4 61.4 MB
02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp4 60.7 MB
04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp4 60.5 MB

[磁力链接] 添加时间:2022-01-11 大小:3.1 GB 最近下载:2025-10-25 热度:2576

[FreeCourseLab.com] Udemy - Zero to Deep Learning™ with Python and Keras

1. Welcome to the course!/5. Installation Video Guide.mp4 64.1 MB
3. Machine Learning/22. Exercise 2 solution.mp4 45.3 MB
3. Machine Learning/8. Linear Regression code along.mp4 41.8 MB
3. Machine Learning/1. Section 3 Intro.mp4 40.9 MB
3. Machine Learning/20. Exercise 1 solution.mp4 39.1 MB
6. Convolutional Neural Networks/1. Section 6 Intro.mp4 37.2 MB
4. Deep Learning Intro/7. Multiclass classification code along.mp4 35.6 MB
1. Welcome to the course!/2. Introduction.mp4 35.5 MB
5. Gradient Descent/10. Learning Rate code along.mp4 34.8 MB
1. Welcome to the course!/8. Your first deep learning model.mp4 34.5 MB
2. Data/5. Plotting with Matplotlib.mp4 34.4 MB
5. Gradient Descent/17. Inner Layers Visualization code along.mp4 33.8 MB
2. Data/3. Data exploration with Pandas code along.mp4 32.4 MB
4. Deep Learning Intro/1. Section 4 Intro.mp4 32.4 MB
5. Gradient Descent/1. Section 5 Intro.mp4 32.3 MB
1. Welcome to the course!/1. Welcome to the course!.mp4 28.7 MB
9. Improving performance/14. Movies Reviews Sentiment Analysis code along.mp4 28.0 MB
1. Welcome to the course!/4. Download and install Anaconda.mp4 26.8 MB
4. Deep Learning Intro/13. Exercise 2 Solution.mp4 26.4 MB
4. Deep Learning Intro/11. Exercise 1 Solution.mp4 26.0 MB

[磁力链接] 添加时间:2022-04-06 大小:2.0 GB 最近下载:2025-10-24 热度:1578

[FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

[磁力链接] 添加时间:2021-03-10 大小:1.5 GB 最近下载:2025-10-24 热度:601

[DesireCourse.Com] Udemy - Machine Learning Basics Building Regression Model in Python

6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 164.2 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.6 MB
6. Linear Regression/5. Simple Linear Regression in Python.vtt 82.5 MB
6. Linear Regression/5. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB

[磁力链接] 添加时间:2021-03-09 大小:2.9 GB 最近下载:2025-10-24 热度:3134

[FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.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
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
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

[磁力链接] 添加时间:2021-03-12 大小:2.4 GB 最近下载:2025-10-24 热度:1096

[GigaCourse.Com] Udemy - Machine Learning A-Z™ - AI, Python & R + ChatGPT Bonus [2023]

41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB

[磁力链接] 添加时间:2023-12-22 大小:17.4 GB 最近下载:2025-10-24 热度:5978

[DesireCourse.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:2021-05-18 大小:3.1 GB 最近下载:2025-10-24 热度:1095

[FreeCourseSite.com] Udemy - [2022] Machine Learning and Deep Learning Bootcamp in Python

54 - COURSE MATERIALS (DOWNLOADS)/001 PythonMachineLearning.zip 592.6 MB
33 - Q Learning Implementation (Tic Tac Toe)/006 Tic tac toe with Q learning implementation VI.mp4 104.3 MB
45 - You Only Look Once (YOLO) Algorithm Implementation/005 YOLO algorithm implementation V.mp4 100.5 MB
05 - Linear Regression/004 Linear regression implementation I.mp4 95.2 MB
19 - Single Layer Networks Implementation/002 Simple neural network implementation - Iris dataset.mp4 89.1 MB
09 - Naive Bayes Classifier/006 Naive Bayes example - clustering news.mp4 82.7 MB
35 - Deep Q Learning Implementation (Tic Tac Toe)/003 Tic Tac Toe with deep Q learning implementation III.mp4 77.9 MB
40 - Face Detection with Viola-Jones Method Implementation/002 Face detection implementation II - CascadeClassifier.mp4 74.1 MB
46 - Single-Shot MultiBox Detector (SSD) Theory/003 Bounding boxes and anchor boxes.mp4 74.0 MB
45 - You Only Look Once (YOLO) Algorithm Implementation/004 YOLO algorithm implementation IV.mp4 73.1 MB
38 - Computer Vision Project I - Lane Detection Problem (Self-Driving Cars)/005 Getting the useful region of the image - masking.mp4 67.9 MB
16 - Machine Learning Project I - Face Recognition/004 Understanding eigenfaces.mp4 66.0 MB
43 - Convolutional Neural Networks (CNNs) Based Approaches/002 Region proposals and convolutional neural networks (CNNs).mp4 63.6 MB
26 - Machine Learning Project III - Identifying Objects with CNNs/004 Tuning the parameters - regularization.mp4 63.4 MB
06 - Logistic Regression/004 Logistic regression example II- credit scoring.mp4 61.4 MB
25 - Convolutional Neural Networks (CNNs) Implementation/002 Handwritten digit classification II.mp4 58.3 MB
25 - Convolutional Neural Networks (CNNs) Implementation/001 Handwritten digit classification I.mp4 57.0 MB
42 - Histogram of Oriented Gradients (HOG) Implementation/001 Showing the HOG features programatically.mp4 56.0 MB
31 - Exploration vs. Exploitation Problem/003 N-armed bandit problem implementation.mp4 55.9 MB
42 - Histogram of Oriented Gradients (HOG) Implementation/003 Face detection with HOG implementation II.mp4 54.9 MB

[磁力链接] 添加时间:2022-04-13 大小:7.6 GB 最近下载:2025-10-24 热度:2540

[freecourse.pro]-Data Science in Python Unsupervised Learning (2024-5)

Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/36. DEMO DBSCAN and Silhouette Score in Python.mp4 147.8 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/4. SOLUTION Hierarchical Clustering.mp4 137.5 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/3. SOLUTION K-Means Clustering.mp4 118.3 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/23. SOLUTION Selecting the Best K-Means Model.mp4 117.4 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/42. DEMO Label Unseen Data.mp4 109.6 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/10. PROJECT Recommending Restaurants/3. SOLUTION TruncatedSVD.mp4 103.2 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/29. DEMO Cluster Maps in Python.mp4 97.0 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/7. Anomaly Detection/10. SOLUTION Isolation Forests.mp4 95.3 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/12. DEMO Interpreting PCA.mp4 86.6 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/12. Final Project/2. SOLUTION Data Prep & EDA.mp4 86.0 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/21. DEMO Selecting the Best Model.mp4 85.0 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/19. SOLUTION Tuning a K-Means Model.mp4 82.4 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/25. Dendrograms in Python.mp4 79.1 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/17. T-SNE.mp4 78.8 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/6. SOLUTION Compare, Recommend and Predict.mp4 71.8 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/22. DEMO Dimensionality Reduction and Clustering.mp4 64.4 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/13. DEMO Plotting Inertia in Python.mp4 61.5 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/6. Visualizing K-Means Clustering.mp4 59.4 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/14. SOLUTION Interpreting PCA.mp4 59.3 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/18. T-SNE in Python.mp4 58.9 MB

[磁力链接] 添加时间:2024-06-26 大小:5.2 GB 最近下载:2025-10-24 热度:421

[ FreeCourseWeb.com ] Udemy - Machine Learning (ML) Bootcamp- Python, TensorFlow, Colab,.zip

[ FreeCourseWeb.com ] Udemy - Machine Learning (ML) Bootcamp- Python, TensorFlow, Colab,.zip 4.5 GB

[磁力链接] 添加时间:2021-04-28 大小:4.5 GB 最近下载:2025-10-24 热度:1979