learning python -移花宫 -武林禁地，闲人禁止入内

[GigaCourse.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:2022-04-14 大小:7.6 GB 最近下载:2025-10-07 热度:1237

[FreeCourseSite.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:2022-04-21 大小:14.1 GB 最近下载:2025-05-15 热度:464

[ DevCourseWeb.com ] Udemy - Python for Deep Learning - Build Neural Networks in Python

~Get Your Files Here !/10. Implementation of CNN in Python/3. Building the CNN model.mp4 49.9 MB
~Get Your Files Here !/8. Implementation of ANN in Python/8. One-hot encoding using scikit-learn.mp4 39.7 MB
~Get Your Files Here !/8. Implementation of ANN in Python/7. Label encoding using scikit-learn.mp4 29.4 MB
~Get Your Files Here !/8. Implementation of ANN in Python/9. Training and Test Sets Splitting Data.mp4 27.7 MB
~Get Your Files Here !/8. Implementation of ANN in Python/17. Predicting the test set results.mp4 27.2 MB
~Get Your Files Here !/8. Implementation of ANN in Python/12. Adding the input layer and the first hidden layer.mp4 24.7 MB
~Get Your Files Here !/8. Implementation of ANN in Python/10. Feature scaling.mp4 24.6 MB
~Get Your Files Here !/7. Summary Overview of Neural Networks/1. How artificial neural networks work.mp4 24.4 MB
~Get Your Files Here !/8. Implementation of ANN in Python/6. Splitting the dataset into independent and dependent variables.mp4 23.9 MB
~Get Your Files Here !/8. Implementation of ANN in Python/16. Fitting the ANN model to the training set.mp4 23.5 MB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/1. Introduction.mp4 22.0 MB
~Get Your Files Here !/8. Implementation of ANN in Python/15. Compiling the artificial neural network.mp4 20.6 MB
~Get Your Files Here !/8. Implementation of ANN in Python/11. Building the Artificial Neural Network.mp4 16.7 MB
~Get Your Files Here !/8. Implementation of ANN in Python/4. Data Pre-processing.mp4 14.3 MB
~Get Your Files Here !/8. Implementation of ANN in Python/14. Adding the output layer.mp4 12.8 MB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/3. Convolution Layer.mp4 12.6 MB
~Get Your Files Here !/1. Introduction to Deep Learning/1. What is a Deep Learning .mp4 12.2 MB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/3. An introduction to the neural network.mp4 12.1 MB
~Get Your Files Here !/8. Implementation of ANN in Python/2. Exploring the dataset.mp4 12.0 MB
~Get Your Files Here !/8. Implementation of ANN in Python/13. Adding the next hidden layer.mp4 11.8 MB

[磁力链接] 添加时间:2022-05-12 大小:687.9 MB 最近下载:2025-10-22 热度:954

[ DevCourseWeb.com ] Udemy - Machine Learning And Deep Learning Projects In Python

~Get Your Files Here !/11 - Language Translation with Machine Learning/27 - Language Translation with Machine Learning.mp4 298.3 MB
~Get Your Files Here !/13 - Hotel Recommendation System with Natural Language Processing NLP/Hotel_Reviews.csv 238.2 MB
~Get Your Files Here !/12 - Covid19 Vaccine Sentiment Analysis/30 - Covid19 Vaccine Sentiment Analysis.mp4 201.9 MB
~Get Your Files Here !/15 - Data Augmentation in Deep Learning and Neural Networks model/39 - Data Augmentation in Deep Learning and Neural Networks model.mp4 168.1 MB
~Get Your Files Here !/20 - Credit Card Fraud Detection with Machine Learning/creditcard.csv 150.8 MB
~Get Your Files Here !/19 - Resume Screening with Machine Learning/51 - Resume Screening with Machine Learning.mp4 138.0 MB
~Get Your Files Here !/6 - Image Classification with Neural Networks/fashion-mnist_train.csv 133.0 MB
~Get Your Files Here !/20 - Credit Card Fraud Detection with Machine Learning/54 - Credit Card Fraud Detection with Machine Learning.mp4 130.5 MB
~Get Your Files Here !/18 - SMS Spam Detection with Machine Learning/48 - SMS Spam Detection with Machine Learning.mp4 130.2 MB
~Get Your Files Here !/8 - Instagram Reach Analysis with Machine Learning/19 - Instagram Reach Analysis with Machine Learning.mp4 118.8 MB
~Get Your Files Here !/1 - Introduction/1 - Introduction to Machine Learning.mp4 104.9 MB
~Get Your Files Here !/13 - Hotel Recommendation System with Natural Language Processing NLP/33 - Hotel Recommendation System with NLP.mp4 102.4 MB
~Get Your Files Here !/4 - Cryptocurrency Price Prediction with Machine Learning/8 - Cryptocurrency Price Prediction for the next 30 days.mp4 85.6 MB
~Get Your Files Here !/21 - YouTube Trending Videos Analysis/57 - YouTube Trending Videos Analysis.mp4 74.7 MB
~Get Your Files Here !/5 - Stock Price Prediction with LSTM Neural Network/10 - Stock Price Prediction with LSTM Neural Network.mp4 61.6 MB
~Get Your Files Here !/14 - Email Spam Detection with Natural Language Processing NLP/36 - Email Spam Detection with NLP.mp4 61.4 MB
~Get Your Files Here !/2 - Waiter Tips Prediction with Machine Learning/3 - Waiter Tips Prediction with Machine Learning.mp4 58.3 MB
~Get Your Files Here !/10 - Gold Price Prediction with Machine Learning/24 - Gold Price Prediction with Machine Learning.mp4 57.5 MB
~Get Your Files Here !/9 - Mobile Price Classification with Machine Learning/22 - Mobile Price Classification with Machine Learning.mp4 55.6 MB
~Get Your Files Here !/21 - YouTube Trending Videos Analysis/USvideos.csv 53.4 MB

[磁力链接] 添加时间:2023-12-17 大小:2.9 GB 最近下载:2025-10-20 热度:10076

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

11 - Generative Models/107 - Variational AutoEncoders VAE Handson with Fashion MNIST.mp4 255.6 MB
8 - Apache Spark Machine Learning on Big Data/74 - Activity Installing Spark Part 2.mp4 205.6 MB
1 - Getting Started/6 - Activity MAC Installing and Using Anaconda Course Materials.mp4 197.9 MB
10 - Deep Learning and Neural Networks/102 - Activity Transfer Learning.mp4 195.1 MB
6 - More Data Mining and Machine Learning Techniques/57 - Reinforcement Learning.mp4 191.1 MB
5 - Recommender Systems/50 - Activity Making Movie Recommendations with ItemBased Collaborative Filtering.mp4 190.1 MB
8 - Apache Spark Machine Learning on Big Data/79 - Activity KMeans Clustering in Spark.mp4 187.1 MB
10 - Deep Learning and Neural Networks/94 - Activity Using Tensorflow Part 1.mp4 178.2 MB
3 - Predictive Models/28 - Activity Multiple Regression and Predicting Car Prices.mp4 158.2 MB
2 - Statistics and Probability Refresher and Python Practice/16 - Activity Variation and Standard Deviation.mp4 156.3 MB
2 - Statistics and Probability Refresher and Python Practice/21 - Activity Advanced Visualization with Seaborn.mp4 156.3 MB
10 - Deep Learning and Neural Networks/95 - Activity Using Tensorflow Part 2.mp4 156.2 MB
2 - Statistics and Probability Refresher and Python Practice/23 - Exercise Conditional Probability.mp4 154.6 MB
11 - Generative Models/109 - Generative Adversarial Networks GANs Playing with some demos.mp4 151.8 MB
6 - More Data Mining and Machine Learning Techniques/53 - Activity Using KNN to predict a rating for a movie.mp4 147.6 MB
8 - Apache Spark Machine Learning on Big Data/81 - Activity Searching Wikipedia with Spark.mp4 146.2 MB
5 - Recommender Systems/48 - Activity Finding Movie Similarities using Cosine Similarity.mp4 143.7 MB
3 - Predictive Models/26 - Activity Linear Regression.mp4 143.3 MB
9 - Experimental Design ML in the Real World/88 - AB Test Gotchas.mp4 141.0 MB
8 - Apache Spark Machine Learning on Big Data/78 - Introduction to Decision Trees in Spark.mp4 140.5 MB

[磁力链接] 添加时间:2023-12-21 大小:9.2 GB 最近下载:2025-10-26 热度:4446

[FreeCourseSite.com] Udemy - Complete Python Bootcamp Deep Learning Into Python Coding

10. Functions, Lambda and Arrays/2. Function, Argument and Parameter.mp4 121.7 MB
4. List In Python Programming/7. List Comprehension.mp4 119.0 MB
15. Object Oriented Programming In Python (OOP)/3. Inheritance.mp4 102.1 MB
2. Strings In Python Programming/2. String Arrays.mp4 83.8 MB
15. Object Oriented Programming In Python (OOP)/1. Classes and Objects.mp4 75.2 MB
1. Getting Started With The Fundamentals of Python Programming/4. Variables.mp4 75.0 MB
5. Tuple In Python Programming/1. Introduction To Tuple.mp4 74.0 MB
4. List In Python Programming/8. List Sorting.mp4 72.7 MB
1. Getting Started With The Fundamentals of Python Programming/9. Data Types.mp4 70.1 MB
12. File Handlings In Python Programming/1. Create and Write File.mp4 63.8 MB
11. Iterators In Python Programming/3. Create Iterator.mp4 63.2 MB
1. Getting Started With The Fundamentals of Python Programming/1. Download and installation of Python IDE.mp4 62.1 MB
13. Python Programming Concepts/1. Date and Time.mp4 61.2 MB
5. Tuple In Python Programming/3. Tuple Update.mp4 60.5 MB
6. Set In Python Programming/5. Join Sets.mp4 59.4 MB
1. Getting Started With The Fundamentals of Python Programming/3. Comments.mp4 59.3 MB
6. Set In Python Programming/1. Introduction To Set.mp4 55.6 MB
1. Getting Started With The Fundamentals of Python Programming/7. Global Variable.mp4 55.3 MB
10. Functions, Lambda and Arrays/3. Lambda In Python Programming.mp4 54.8 MB
8. Decision Making Statements In Python Programming/3. Ternary Operator.mp4 54.8 MB

[磁力链接] 添加时间:2023-12-21 大小:3.5 GB 最近下载:2025-10-26 热度:2181

Practical Transfer Learning (Deep Learning) in Python

[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/1.2 train.zip 569.6 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/1. Introduction/4. Becoming Poet Part 2.mp4 137.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/1. Data Preparation-1.mp4 135.4 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/2. Dataset Preparation for Custom Model.mp4 129.4 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/3. Dataset Preparation for Custom Model.mp4 129.4 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/1. Checking against pre-trained model.mp4 111.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/2. Direct Use of Model.mp4 111.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/5. Resnet Custom Model.mp4 99.0 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/2. Existing Models Checking.mp4 94.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/4. Basic CNN Model-1.mp4 91.7 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/4. Making of Custom Model - Last Layer change.mp4 86.2 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/3. Custom Model.mp4 86.2 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/3. Data Loading -1.mp4 86.1 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/2. Image to Numpy Array.mp4 78.7 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/1. Introduction/3. Becoming Poet Part 1.mp4 77.9 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/6. Fitting Custom Resnet Model.mp4 77.1 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/4. Data Loading One Hot Encoding.mp4 74.2 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/9. Tensorflow.js Model Deployment with p5.mp4 69.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/12. Android Deployment.mp4 62.6 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/4. Audio Classification - Man in Black.mp4 57.5 MB

[磁力链接] 添加时间:2023-12-25 大小:3.2 GB 最近下载:2025-10-26 热度:5993

[GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R

26. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
36. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
17. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
25. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
25. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
22. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
26. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
26. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
33. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
24. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
37. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
36. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
26. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
36. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
22. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
13. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.3 MB
34. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

[磁力链接] 添加时间:2023-12-26 大小:13.5 GB 最近下载:2025-10-27 热度:4148

[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

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:2024-01-30 大小:14.1 GB 最近下载:2025-10-24 热度:1660

[Udemy] Python Programming Machine Learning, Deep Learning (05.2021)

11. Projects/2. Project - 2.mp4 177.5 MB
6. Machine Learning/15. Choosing the right algorithm and model.mp4 155.7 MB
5. Numpy Library/8. Using Numpy in Linear Algebra.mp4 117.6 MB
11. Projects/1. Project - 1.mp4 106.5 MB
6. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 92.2 MB
10. Transfer Learning/1. What is Transfer Learning.mp4 89.5 MB
6. Machine Learning/16. Training and testing the model.mp4 88.1 MB
11. Projects/3. Project - 3.mp4 86.3 MB
7. Artificial Neural Network/3. Creating a Simple ANN.mp4 83.3 MB
5. Numpy Library/5. Numpy Functions.mp4 82.3 MB
5. Numpy Library/7. Numpy Exercises.mp4 77.8 MB
8. Convolutional Neural Network (CNN)/1. What is CNN.mp4 75.9 MB
11. Projects/4. Project - 4.mp4 75.8 MB
6. Machine Learning/11. Supervised Machine Learning Methods - 4.mp4 73.7 MB
3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets.mp4 69.6 MB
7. Artificial Neural Network/8. What is TensorFlow.mp4 65.6 MB
7. Artificial Neural Network/4. Tensor Operations.mp4 65.1 MB
4. Object Oriented Programming/5. Overriding and Overloading.mp4 61.7 MB
6. Machine Learning/10. Supervised Machine Learning Methods - 3.mp4 58.8 MB
6. Machine Learning/9. Supervised Machine Learning Methods - 2.mp4 58.1 MB

[磁力链接] 添加时间:2024-03-24 大小:3.0 GB 最近下载:2025-10-18 热度:1184

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

[ FreeCourseWeb.com ] Udemy - Data Science, Machine Learning and Deep Learning with Python.zip 4.5 GB

[磁力链接] 添加时间:2024-04-06 大小:4.5 GB 最近下载:2025-07-29 热度:73

[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

16 Projects/002 Project - 2.mp4 114.4 MB
07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 90.1 MB
16 Projects/003 Project - 3.mp4 86.3 MB
07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
05 Numpy Library/005 Numpy Functions.mp4 81.2 MB
05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 75.8 MB
06 Using Pandas for Data Manipulation/002 Series and Features.mp4 70.4 MB
03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.mp4 69.6 MB
05 Numpy Library/007 Numpy Exercises.mp4 66.1 MB
04 Object Oriented Programming/005 Overriding and Overloading.mp4 61.7 MB
11 Machine Learning/010 Supervised Machine Learning Methods - 3.mp4 58.8 MB
08 Matplotlib/005 Figure Customization.mp4 57.3 MB
07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 57.0 MB
07 Data Frame with Pandas/011 Work with Dataset Files.mp4 56.8 MB
08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 53.9 MB
03 Fundamentals of Python/004 Loops.mp4 51.5 MB
03 Fundamentals of Python/010 Exercise Solution.mp4 50.0 MB
12 Artificial Neural Network/004 Tensor Operations.mp4 49.9 MB
03 Fundamentals of Python/001 Data Types in Python.mp4 43.1 MB
03 Fundamentals of Python/006 Data Type Operators and Methods.mp4 42.4 MB

[磁力链接] 添加时间:2024-07-28 大小:2.0 GB 最近下载:2025-09-11 热度:1348

Linkedin Learning Machine Learning With Python-K-Means Clustering

3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.mp4 31.2 MB
2. Understanding K-Means Clustering/3. Choosing the right number of clusters.mp4 26.6 MB
3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.mp4 18.9 MB
3. Segmenting Data with K-Means Clustering/3. How to find the right number of clusters in Python.mp4 18.3 MB
2. Understanding K-Means Clustering/1. What is clustering.mp4 16.9 MB
3. Segmenting Data with K-Means Clustering/2. How to evaluate and visualize clusters in Python.mp4 14.2 MB
2. Understanding K-Means Clustering/2. What is k-means clustering.mp4 11.0 MB
2. Understanding K-Means Clustering/4. Why and when to use k-means clustering.mp4 9.4 MB
1. Introduction/4. Using the exercise files.mp4 6.2 MB
4. Conclusion/1. Next steps.mp4 4.7 MB
1. Introduction/1. Getting started with Python and k-means clustering.mp4 4.0 MB
1. Introduction/2. What you should know.mp4 3.9 MB
1. Introduction/2. What you should know_1.mp4 3.3 MB
1. Introduction/3. The tools you need.mp4 3.2 MB
Exercise Files/02/02e.ipynb 15.6 kB
Exercise Files/02/02b.ipynb 15.2 kB
2. Understanding K-Means Clustering/3. Choosing the right number of clusters.srt 11.9 kB
3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.srt 11.4 kB
3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.srt 7.7 kB
2. Understanding K-Means Clustering/1. What is clustering.srt 7.5 kB

[磁力链接] 添加时间:2024-08-24 大小:172.1 MB 最近下载:2025-10-26 热度:3586

Linkedin Learning Machine Learning With Python-Decision Trees

4. Working with Regression Trees/1. How to build a regression tree in Python.mp4 23.9 MB
2. Decision Trees/5. How to prune a decision tree.mp4 21.2 MB
4. Working with Regression Trees/3. How to prune a regression tree in Python.mp4 18.8 MB
3. Working with Classification Trees/1. How to build a classification tree in Python.mp4 18.6 MB
2. Decision Trees/3. How do classification trees measure impurity.mp4 16.1 MB
2. Decision Trees/2. How is a classification tree built.mp4 15.4 MB
2. Decision Trees/4. How is a regression tree built.mp4 15.1 MB
3. Working with Classification Trees/3. How to prune a classification tree in Python.mp4 14.8 MB
4. Working with Regression Trees/2. How to visualize a regression tree in Python.mp4 14.1 MB
3. Working with Classification Trees/2. How to visualize a classification tree in Python.mp4 13.2 MB
2. Decision Trees/1. What is a decision tree.mp4 13.0 MB
2. Decision Trees/6. Why and when to use a decision tree.mp4 10.4 MB
1. Introduction/4. Using the exercise files.mp4 5.5 MB
5. Conclusion/1. Next steps with decision trees.mp4 4.5 MB
1. Introduction/3. The tools you need.mp4 3.5 MB
1. Introduction/1. Making decisions with Python.mp4 3.4 MB
1. Introduction/2. What you should know.mp4 3.1 MB
Exercise Files/03/03e.ipynb 11.5 kB
Exercise Files/03/03b.ipynb 11.0 kB
4. Working with Regression Trees/1. How to build a regression tree in Python.srt 10.6 kB

[磁力链接] 添加时间:2024-08-24 大小:214.8 MB 最近下载:2025-10-26 热度:5676

Linkedin Learning Machine Learning With Python-Logistic Regression

4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.mp4 39.8 MB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.mp4 29.9 MB
1. Introduction/4. Using GitHub Codespaces with this course.mp4 22.8 MB
4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.mp4 22.0 MB
4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.mp4 18.7 MB
2. Regression/3. Common types of regression.mp4 14.9 MB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.mp4 14.8 MB
3. Logistic Regression/2. Making predictions with logistic regression.mp4 14.1 MB
3. Logistic Regression/1. What is logistic regression.mp4 11.6 MB
2. Regression/1. What is regression.mp4 9.8 MB
2. Regression/2. The anatomy of a regression model.mp4 9.8 MB
1. Introduction/3. Using the exercise files.mp4 5.2 MB
3. Logistic Regression/4. Why and when to use logistic regression.mp4 4.8 MB
5. Conclusion/1. Next steps.mp4 4.4 MB
1. Introduction/1. Classifying data with logistic regression.mp4 4.4 MB
1. Introduction/2. What you should know.mp4 2.9 MB
4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.srt 17.5 kB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.srt 11.8 kB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.srt 10.0 kB
1. Introduction/4. Using GitHub Codespaces with this course.srt 9.1 kB

[磁力链接] 添加时间:2024-08-24 大小:230.1 MB 最近下载:2025-10-26 热度:3217

[FreeCourseSite.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:2025-02-19 大小:14.1 GB 最近下载:2025-10-03 热度:68

[ DevCourseWeb.com ] Deep Learning with Python - Optimizing Deep Learning Models

~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/05 - Using KerasTuner for hyperparameter tuning.mp4 24.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/07 - Training a deep learning model using callbacks.mp4 21.0 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/04 - Defining a tunable deep learning model in Keras.mp4 18.8 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/02 - Key hyperparameters in deep learning.mp4 15.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/06 - Learning rate scheduling.mp4 11.6 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/01 - Common loss functions in deep learning.mp4 11.1 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/03 - Methods for hyperparameter tuning.mp4 10.8 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/07 - Applying dropout regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/03 - Applying L1 regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/01 - Parameters versus hyperparameters.mp4 10.2 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/04 - Applying L2 regularization to a deep learning model.mp4 10.0 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/03 - Gradient clipping.mp4 9.9 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/04 - Applying gradient clipping to a deep learning model.mp4 9.4 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/05 - Adaptive Gradient Algorithm (AdaGrad).mp4 9.1 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/02 - Applying batch normalization to a deep learning model.mp4 8.4 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/02 - Lasso and ridge regularization.mp4 7.8 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/08 - Adaptive Moment Estimation (Adam).mp4 6.4 MB
~Get Your Files Here !/07 - Conclusion/01 - Continuing to optimize deep learning models.mp4 6.4 MB
~Get Your Files Here !/02 - 1. Optimizing Deep Learning Models/01 - The importance of optimizing deep learning models.mp4 6.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/01 - The bias-variance trade-off.mp4 6.1 MB

[磁力链接] 添加时间:2025-03-08 大小:276.3 MB 最近下载:2025-10-27 热度:1891

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

Udemy - Machine Learning and Deep Learning Bootcamp in Python (1.2025)

37. Q Learning Implementation (Tic Tac Toe)/6. Tic tac toe with Q learning implementation VI.mp4 116.2 MB
05. Linear Regression/4. Linear regression implementation I.mp4 97.0 MB
32. ### NUMERICAL OPTIMIZATION (OPTIMIZERS) ###/6. Stochastic gradient descent implementation I.mp4 85.0 MB
09. Naive Bayes Classifier/6. Naive Bayes example - clustering news.mp4 83.6 MB
39. Deep Q Learning Implementation (Tic Tac Toe)/3. Tic Tac Toe with deep Q learning implementation III.mp4 76.5 MB
06. Logistic Regression/4. Logistic regression example II- credit scoring.mp4 75.5 MB
06. Logistic Regression/3. Logistic regression example I - sigmoid function.mp4 69.1 MB
32. ### NUMERICAL OPTIMIZATION (OPTIMIZERS) ###/9. ADAGrad implementation.mp4 62.6 MB
25. Convolutional Neural Networks (CNNs) Implementation/2. Handwritten digit classification II.mp4 60.9 MB
08. K-Nearest Neighbor Classifier/6. K-nearest neighbor implementation II.mp4 59.2 MB
09. Naive Bayes Classifier/1. What is the naive Bayes classifier.mp4 57.7 MB
15. Clustering/3. K-means clustering - text clustering.mp4 57.5 MB
25. Convolutional Neural Networks (CNNs) Implementation/1. Handwritten digit classification I.mp4 57.0 MB
16. Machine Learning Project I - Face Recognition/4. Understanding eigenfaces.mp4 56.2 MB
35. Exploration vs. Exploitation Problem/3. N-armed bandit problem implementation.mp4 55.9 MB
28. Recurrent Neural Networks (RNNs) Implementation/3. Time series analysis example III.mp4 55.2 MB
26. Machine Learning Project III - Identifying Objects with CNNs/5. Tuning the parameters - regularization.mp4 54.5 MB
34. Markov Decision Process (MDP) Theory/3. Markov decision processes - equations.mp4 52.1 MB
37. Q Learning Implementation (Tic Tac Toe)/8. Tic tac toe with Q learning implementation VIII.mp4 51.0 MB
06. Logistic Regression/1. What is logistic regression.mp4 50.7 MB

[磁力链接] 添加时间:2025-09-19 大小:6.3 GB 最近下载:2025-10-26 热度:143