learning python -移花宫 -武林禁地，闲人禁止入内

[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs

~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4 72.5 MB
~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4 66.7 MB
~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4 66.4 MB
~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4 65.6 MB
~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4 57.2 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4 57.0 MB
~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4 52.4 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4 52.3 MB
~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4 52.2 MB
~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4 44.6 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4 43.3 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4 40.6 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4 40.0 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4 38.4 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4 38.2 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4 38.1 MB
~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4 36.8 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4 35.3 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4 34.0 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 33.9 MB

[磁力链接] 添加时间:2024-01-06 大小:1.7 GB 最近下载:2025-09-30 热度:959

[ 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:2025-10-27 热度:956

Coursera - Applied Machine Learning in Python

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

[磁力链接] 添加时间:2024-04-03 大小:566.7 MB 最近下载:2025-10-28 热度:945

[FreeCourseSite.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
03 Data Preprocessing/012 Normalization.mp4 195.9 MB
05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB

[磁力链接] 添加时间:2022-01-10 大小:7.2 GB 最近下载:2025-10-27 热度:943

[ DevCourseWeb.com ] Udemy - The Introduction of AI and Machine Learning with Python

~Get Your Files Here !/03 - Understanding AI/005 Project Functions.mp4 104.4 MB
~Get Your Files Here !/02 - Introduction to AI/003 Fields of AI.mp4 98.6 MB
~Get Your Files Here !/06 - Supervised Learning - Regression/005 Project - Weight Prediction.mp4 89.6 MB
~Get Your Files Here !/15 - Deep Learning - Computer Vision/005 Project - Image Classification.mp4 81.1 MB
~Get Your Files Here !/11 - Unsupervised Learning - Association Rule Mining/003 How Apriori algorithm works.mp4 78.5 MB
~Get Your Files Here !/02 - Introduction to AI/005 Project - ChatBot.mp4 75.5 MB
~Get Your Files Here !/07 - Supervised Learning - Binary Classification/005 Project - Diabetes prediction.mp4 74.8 MB
~Get Your Files Here !/08 - Supervised Learning - Multi-class Classification/006 Iris flower - prediction.mp4 71.6 MB
~Get Your Files Here !/15 - Deep Learning - Computer Vision/002 Introduction to Deep Learning.mp4 71.0 MB
~Get Your Files Here !/02 - Introduction to AI/001 Introducing AI.mp4 70.2 MB
~Get Your Files Here !/09 - Unsupervised Learning - Clustering/005 KMeans- Clustering.mp4 66.2 MB
~Get Your Files Here !/07 - Supervised Learning - Binary Classification/002 Decision Tree.mp4 63.6 MB
~Get Your Files Here !/04 - Introduction to Data/005 Project - Handling DataFrame.mp4 59.2 MB
~Get Your Files Here !/03 - Understanding AI/002 How AI works.mp4 57.6 MB
~Get Your Files Here !/14 - Natural Language Processing - Sentiment Analysis/005 Project - Sentiment Analysis.mp4 56.9 MB
~Get Your Files Here !/05 - Machine Learning/008 Project - Salary Prediction.mp4 54.2 MB
~Get Your Files Here !/13 - Recommendation System - Collaborative Filtering/002 Collaborative Filtering.mp4 51.9 MB
~Get Your Files Here !/05 - Machine Learning/003 Types of Machine Learning.mp4 51.0 MB
~Get Your Files Here !/12 - Recommendation System - Content Based/002 Recommendation Systems.mp4 50.8 MB
~Get Your Files Here !/04 - Introduction to Data/003 Types of Data.mp4 49.5 MB

[磁力链接] 添加时间:2024-08-15 大小:3.1 GB 最近下载:2025-10-23 热度:942

[FreeCourseSite.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:2024-04-12 大小:718.6 MB 最近下载:2025-10-17 热度:941

LinkedIn Learning - Advance Your Skills in Python - Complete 7 Courses

3. Python Data Structures and Algorithms/2 - The Stack Data Structure/2. Build a stack class in Python.mp4 43.1 MB
3. Python Data Structures and Algorithms/4 - Depth-First Search Algorithm/4. Code a depth-first search in Python.mp4 38.2 MB
3. Python Data Structures and Algorithms/5 - The Queue Data Structure/2. Build a queue class in Python.mp4 26.4 MB
3. Python Data Structures and Algorithms/6 - The Breadth-First Search Algorithm/3. Code a breadth-first search in Python.mp4 26.1 MB
5. Python GUI Development with Tkinter/0 - Introduction/1. Create a GUI for your Python desktop application.mp4 25.6 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/3. Code the A algorithm in Python.mp4 25.2 MB
3. Python Data Structures and Algorithms/7 - The Priority Queue Data Structure/2. Use the heap module to implement a priority queue.mp4 22.3 MB
1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/1. Reading a CSV file.mp4 20.8 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/2. Visualize the A algorithm.mp4 20.5 MB
3. Python Data Structures and Algorithms/1 - Pathfinding Algorithms in a Maze Game/1. Understand the example application.mp4 17.6 MB
1. Hands-On Introduction Python onehack.us/0 - Introduction/3. Using GitHub Codespaces with this course.mp4 17.4 MB
6. Create an Open-Source Project in Python/3 - Tidy Up Your Code/1. What is PEP 8.mp4 16.9 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/8. How to perform Vader sentiment analysis.mp4 16.8 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/4. How to clean text data.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/9. Solution.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/7. Solution.mp4 16.2 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/10. How to perform topic modeling.mp4 15.8 MB
1. Hands-On Introduction Python onehack.us/4 - Extending a Service/2. Extending a small web server.mp4 15.7 MB
1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/3. Outputting JSON.mp4 15.5 MB
4. Python Automation and Testing/3 - Navigating through Pages/5. Solution.mp4 15.4 MB

[磁力链接] 添加时间:2024-08-19 大小:1.4 GB 最近下载:2025-09-25 热度:940

[Tutorialsplanet.NET] Udemy - Machine Learning with Python COMPLETE COURSE FOR BEGINNERS

С СУБТИРАМИ НА РУССКОМ/с 8 по 11 папку.mp4 794.1 MB
С СУБТИРАМИ НА РУССКОМ/7 папка.mp4 725.5 MB
С СУБТИРАМИ НА РУССКОМ/4 папка с 1 по 5.mp4 705.6 MB
6. Regression/1. Linear Regression.mp4 471.4 MB
С СУБТИРАМИ НА РУССКОМ/1 по 3 папки.mp4 469.4 MB
С СУБТИРАМИ НА РУССКОМ/5 и 6 папка.mp4 415.3 MB
4. ntroduction to Python/5. Data Structures.mp4 398.9 MB
4. ntroduction to Python/8. Data Visualisation.mp4 373.4 MB
4. ntroduction to Python/7. Pandas.mp4 360.8 MB
4. ntroduction to Python/6. Numpy.mp4 340.4 MB
7. Classification/1. Logistic Regression.mp4 337.1 MB
7. Classification/2. KNN.mp4 299.8 MB
10. Our Project (Recomendation System)/2. Recommendations System.mp4 297.6 MB
4. ntroduction to Python/4. Python Basics II.mp4 229.6 MB
7. Classification/5. Decision Tree.mp4 227.6 MB
4. ntroduction to Python/3. Python_Basics.mp4 200.2 MB
9. Ensemble ML/2. Boosting.mp4 173.7 MB
10. Our Project (Recomendation System)/1. PCA.mp4 165.5 MB
9. Ensemble ML/1. Bagging.mp4 164.1 MB
8. Clustering/1. K-means.mp4 144.2 MB

[磁力链接] 添加时间:2024-03-30 大小:8.6 GB 最近下载:2025-10-27 热度:928

[ FreeCourseWeb.com ] Lynda - SQL Server Machine Learning Services- Python.zip

[ FreeCourseWeb.com ] Lynda - SQL Server Machine Learning Services- Python.zip 377.4 MB

[磁力链接] 添加时间:2021-03-21 大小:377.4 MB 最近下载:2025-10-27 热度:927

[FreeCourseSite.com] Udemy - Deployment of Machine Learning Models in Production Python

03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 DistilBERT-App.zip 246.7 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.mp4 167.8 MB
02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.mp4 115.1 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/063 Setting Up uWSGI Server.mp4 106.7 MB
05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/057 Install TensorFlow 2 and KTRAIN.mp4 98.1 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.mp4 96.2 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/068 Congrats! You Have Deployed ML Model in Production.mp4 89.0 MB
05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/058 Create Extra RAM from SSD by Memory Swapping.mp4 87.8 MB
02 Fine Tuning BERT for Disaster Tweets Classification/019 Number of Characters Distribution in Tweets.mp4 87.6 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.mp4 84.7 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/081 Testing Prediction API at AWS Ubuntu Machine.mp4 81.2 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.mp4 80.2 MB
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 What is DistilBERT_.mp4 77.7 MB
02 Fine Tuning BERT for Disaster Tweets Classification/027 Word Embeddings and Classification with Deep Learning Part 2.mp4 77.1 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/049 Deploy ML Model on EC2 Server.mp4 74.4 MB
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/041 Deploy DistilBERT Model at Your Local Machine.mp4 72.8 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/072 Data Preparation.mp4 70.7 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/050 Make Your ML Model Accessible to the World.mp4 70.1 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/046 Install TensorFlow 2 and KTRAIN.mp4 69.8 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/075 Creating Fresh Ubuntu Machine.mp4 62.2 MB

[磁力链接] 添加时间:2021-05-14 大小:4.3 GB 最近下载:2025-10-21 热度:923

[ FreeCourseWeb.com ] Udemy - Learning the FOSS4g Stack- Python for Geospatial.zip

[ FreeCourseWeb.com ] Udemy - Learning the FOSS4g Stack- Python for Geospatial.zip 2.4 GB

[磁力链接] 添加时间:2021-03-14 大小:2.4 GB 最近下载:2025-10-27 热度:917

[ DevCourseWeb.com ] Udemy - Automated Machine Learning with AutoGluon Library in Python

~Get Your Files Here !/2. Tabular Data - Classification and Regression/4. AutoGluon Classification Part Two Training the Model.mp4 160.8 MB
~Get Your Files Here !/2. Tabular Data - Classification and Regression/11. AutoGluon Fit Parameters Inference Constraints and Manual Hyperparameters.mp4 155.5 MB
~Get Your Files Here !/3. Multi-Modal Datasets/6. MultiModalPredictor on Binary Class with Natural Language Text.mp4 129.4 MB
~Get Your Files Here !/3. Multi-Modal Datasets/book_rating/utils/data/X.pkl 120.8 MB
~Get Your Files Here !/4. Time Series Forecasting/6. Known Covariate Time Series Forecasting in AutoGluon - Part One.mp4 120.2 MB
~Get Your Files Here !/2. Tabular Data - Classification and Regression/9. AutoGluon Regression Data, Split, Training, and Validation.mp4 112.1 MB
~Get Your Files Here !/2. Tabular Data - Classification and Regression/3. AutoGluon Classification Part One Data and Split.mp4 103.3 MB
~Get Your Files Here !/2. Tabular Data - Classification and Regression/8. OPTIONAL Classification Metrics.mp4 101.2 MB
~Get Your Files Here !/2. Tabular Data - Classification and Regression/2. OPTIONAL Supervised Learning Overview.mp4 100.6 MB
~Get Your Files Here !/2. Tabular Data - Classification and Regression/7. AutoGluon Classification Part Four Interpretability.mp4 96.5 MB
~Get Your Files Here !/2. Tabular Data - Classification and Regression/6. AutoGluon Classification Part Three Validation.mp4 95.3 MB
~Get Your Files Here !/3. Multi-Modal Datasets/3. Natural Language - MultiClass Problem - Part One.mp4 94.1 MB
~Get Your Files Here !/2. Tabular Data - Classification and Regression/12. Advanced AutoGluon Presets and Deployment.mp4 78.9 MB
~Get Your Files Here !/4. Time Series Forecasting/4. Single Variate Time Series Forecasting in AutoGluon - Part Two.mp4 74.5 MB
~Get Your Files Here !/4. Time Series Forecasting/3. Single Variate Time Series Forecasting in AutoGluon - Part One.mp4 74.5 MB
~Get Your Files Here !/2. Tabular Data - Classification and Regression/13. Advanced AutoGluon Custom Feature Engineering Pipeline.mp4 68.7 MB
~Get Your Files Here !/4. Time Series Forecasting/5. Single Variate Time Series Forecasting in AutoGluon - Part Three.mp4 65.7 MB
~Get Your Files Here !/4. Time Series Forecasting/2. Overview of Time Series in AutoGluon.mp4 60.4 MB
~Get Your Files Here !/4. Time Series Forecasting/8. Past Covariate Time Series Forecasting.mp4 51.4 MB
~Get Your Files Here !/1. Course Overview and Introduction/3. Course Curriculum Overview.mp4 47.4 MB

[磁力链接] 添加时间:2023-12-18 大小:2.3 GB 最近下载:2025-10-20 热度:906

[DesireCourse.Net] Udemy - Practical Machine Learning by Example in Python

4. Foundations NumPy/6. Linear Regression Example.mp4 67.8 MB
2. Python Quick Start/12. Classes.mp4 65.5 MB
7. Foundations Pandas/2. Loading and inspecting data example.mp4 61.9 MB
3. Example Logistic Regression/3. Data analysis.mp4 61.8 MB
9. Example Sentiment Analysis/11. Transfer Learning Example.mp4 60.6 MB
6. Example Image recognition/14. Hyperparameter tuning example.mp4 55.0 MB
2. Python Quick Start/3. String formatting.mp4 54.9 MB
4. Foundations NumPy/5. Introduction to Linear Regression.mp4 54.8 MB
6. Example Image recognition/8. Model training.mp4 52.7 MB
10. Example Fraud detection/9. Making predictions.mp4 51.8 MB
3. Example Logistic Regression/8. Gradient descent.mp4 48.5 MB
9. Example Sentiment Analysis/5. Data Preparation.mp4 46.5 MB
8. Example Recommendations/8. Model definition.mp4 44.3 MB
10. Example Fraud detection/2. Data analysis.mp4 43.8 MB
3. Example Logistic Regression/12. Making predictions.mp4 42.3 MB
7. Foundations Pandas/5. Sorting and transforming data example.mp4 41.8 MB
9. Example Sentiment Analysis/12. Fine Tuning and Prediction.mp4 41.5 MB
6. Example Image recognition/2. Data analysis.mp4 40.2 MB
3. Example Logistic Regression/6. The forward function.mp4 39.7 MB
8. Example Recommendations/5. Data preparation.mp4 37.9 MB

[磁力链接] 添加时间:2021-03-14 大小:2.9 GB 最近下载:2025-10-28 热度:899

Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python

Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part01.rar 2.1 GB
Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part06.rar 2.1 GB
Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part08.rar 2.1 GB
Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part07.rar 2.1 GB
Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part03.rar 2.1 GB
Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part04.rar 2.1 GB
Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part05.rar 2.1 GB
Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part02.rar 2.1 GB
Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part09.rar 214.6 MB

[磁力链接] 添加时间:2021-03-07 大小:17.4 GB 最近下载:2025-10-26 热度:891

[FTUForum.com] [UDEMY] Python Machine Learning Basics Shallow Learning Algorithms [FTU]

2. Machine Learning Framework/4. MI Python skeleton.mp4 61.5 MB
3. SVD/1. SVD implementation.mp4 55.6 MB
5. Going Live/3. Surpriselib and Flask.mp4 50.9 MB
2. Machine Learning Framework/1. Scikit Surprise.mp4 40.4 MB
4. KNN/1. KNN implementation.mp4 39.5 MB
3. SVD/2. SVD Theory.mp4 38.8 MB
5. Going Live/1. Display KNN neighbors.mp4 33.2 MB
1. Introduction/1. What is Machine Learning.mp4 30.1 MB
4. KNN/2. Knn theory.mp4 23.7 MB
5. Going Live/2. Display SVD Item Predictions.mp4 23.7 MB
2. Machine Learning Framework/2. Evaluation.mp4 22.6 MB
4. KNN/3. User vs Item.mp4 19.5 MB
1. Introduction/2. Shallow vs Deep learning.mp4 13.9 MB
1. Introduction/3. Theory vs Practice.mp4 12.0 MB
2. Machine Learning Framework/3. Install Python 3.5+.mp4 7.7 MB
2. Machine Learning Framework/4. MI Python skeleton.vtt 9.1 kB
2. Machine Learning Framework/2. Evaluation.vtt 8.1 kB
3. SVD/1. SVD implementation.vtt 7.0 kB
5. Going Live/3. Surpriselib and Flask.vtt 6.3 kB
1. Introduction/1. What is Machine Learning.vtt 5.9 kB

[磁力链接] 添加时间:2021-03-09 大小:473.2 MB 最近下载:2025-10-25 热度:890

[ FreeCourseWeb.com ] Udemy - Introduction to Machine Learning & Deep Learning in Python.zip

[ FreeCourseWeb.com ] Udemy - Introduction to Machine Learning & Deep Learning in Python.zip 1.7 GB

[磁力链接] 添加时间:2022-03-14 大小:1.7 GB 最近下载:2025-10-12 热度:884

[ DevCourseWeb.com ] Udemy - Learn Data Mining and Machine Learning With Python.zip

[ DevCourseWeb.com ] Udemy - Learn Data Mining and Machine Learning With Python.zip 3.2 GB

[磁力链接] 添加时间:2021-03-20 大小:3.2 GB 最近下载:2025-10-22 热度:881

[FTUForum.com] [UDEMY] Deep Learning Prerequisites Linear Regression in Python [FTU]

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 85.6 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
1. Welcome/1. Welcome.mp4 33.6 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
1. Welcome/2. Introduction and Outline.mp4 29.8 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
6. Appendix/12. Python 2 vs Python 3.mp4 17.7 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB

[磁力链接] 添加时间:2022-01-21 大小:1.0 GB 最近下载:2025-10-20 热度:880

[ FreeCourseWeb.com ] Skillshare - Data Science ,Linear Regression with Python - Write 1st Machine Learning Code in 30 min.zip

[ FreeCourseWeb.com ] Skillshare - Data Science ,Linear Regression with Python - Write 1st Machine Learning Code in 30 min.zip 205.5 MB

[磁力链接] 添加时间:2021-05-08 大小:205.5 MB 最近下载:2025-10-15 热度:876

[FreeTutorials.Us] deep-learning-prerequisites-the-numpy-stack-in-python

01 Introduction and Outline/quizzes/001 How will you practice what youve learned in this course.html 3.7 kB
01 Introduction and Outline/001 Whats this course about How can you succeed What should you know first.mp4 10.5 MB
01 Introduction and Outline/002 Where to get the code and how to install libraries.mp4 7.0 MB
02 Numpy/003 Lists vs. Arrays.mp4 12.4 MB
02 Numpy/004 Dot product 1 For loop vs. cosine method vs. dot function.mp4 9.2 MB
02 Numpy/005 Dot product 2 Speed comparison.mp4 2.9 MB
02 Numpy/006 Vectors and Matrices.mp4 6.7 MB
02 Numpy/007 Generating Matrices to Work With.mp4 8.3 MB
02 Numpy/008 Matrix Products.mp4 4.6 MB
02 Numpy/009 More Matrix Operations.mp4 13.2 MB
02 Numpy/010 Solving a Linear System.mp4 4.2 MB
02 Numpy/011 Word Problem.mp4 3.1 MB
03 Pandas/012 Manual Data Loading.mp4 9.5 MB
03 Pandas/013 DataFrames.mp4 7.5 MB
03 Pandas/014 More about DataFrames Selecting Rows and Columns.mp4 9.6 MB
03 Pandas/015 Even More about DataFrames Column Names.mp4 6.3 MB
03 Pandas/016 The apply Function.mp4 5.9 MB
03 Pandas/017 Joins.mp4 4.7 MB
04 Matplotlib/018 Line Chart.mp4 6.6 MB
04 Matplotlib/019 Scatterplot.mp4 7.4 MB

[磁力链接] 添加时间:2017-08-21 大小:255.2 MB 最近下载:2025-10-21 热度:874