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[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
  • 05 Pandas/028 Pandas Project Exercise Solutions.mp4 181.0 MB
  • 13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
  • 08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
  • 17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
  • 05 Pandas/026 Pandas Pivot Tables.mp4 135.0 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
  • 11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 MB
  • 11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
  • 16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.5 MB
  • 23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
  • 07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
  • 20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
  • 22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
  • 08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
  • 06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
  • 07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
  • 11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 110.2 MB
[磁力链接] 添加时间:2022-01-17 大小:11.3 GB 最近下载:2025-10-26 热度:1018

[ DevCourseWeb.com ] Deep Learning for Beginners - A beginner's guide to getting up and running with deep learning from scratch using Python.zip

  • [ DevCourseWeb.com ] Deep Learning for Beginners - A beginner's guide to getting up and running with deep learning from scratch using Python.zip 238.4 MB
[磁力链接] 添加时间:2022-01-18 大小:238.4 MB 最近下载:2025-10-26 热度:1444

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

  • 28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4 117.9 MB
  • 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 101.5 MB
  • 7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp4 89.6 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp4 88.7 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4 88.2 MB
  • 15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp4 86.8 MB
  • 11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4 84.6 MB
  • 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp4 82.7 MB
  • 20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 82.2 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4 81.3 MB
  • 15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp4 77.2 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp4 76.3 MB
  • 10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4 75.7 MB
  • 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 75.3 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4 74.2 MB
  • 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 74.1 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4 74.0 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4 72.9 MB
  • 27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp4 71.9 MB
  • 12. Advanced Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4 71.7 MB
[磁力链接] 添加时间:2024-05-11 大小:13.8 GB 最近下载:2025-10-26 热度:439

Master Deep Learning with TensorFlow in Python

  • Master Deep Learning with TensorFlow in Python.zip 1.4 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-03-08 大小:1.4 GB 最近下载:2025-10-26 热度:6166

Python Machine Learning in 7 Days [Video]

  • 5.Finding Patterns and Structures in Unlabeled Data/25.Review of Getting Better Test Sample Results by Measuring Model Performance.mp4 23.5 MB
  • 1.Enter the Machine Learning World!/02.Setting Up Your Machine Learning Environment.mp4 21.6 MB
  • 1.Enter the Machine Learning World!/03.Exploring Types of Machine Learning.mp4 6.5 MB
  • 1.Enter the Machine Learning World!/04.Using Scikit-learn for Machine Learning.mp4 14.8 MB
  • 1.Enter the Machine Learning World!/05.Assignment – Train Your First Pre-built Machine Learning Model.mp4 2.4 MB
  • 2.Build Your First Predicting Model/06.Supervised Learning Algorithm.mp4 4.1 MB
  • 2.Build Your First Predicting Model/07.Architecture of a Machine Learning System.mp4 6.2 MB
  • 2.Build Your First Predicting Model/08.Machine Learning Model and Its Components.mp4 7.1 MB
  • 2.Build Your First Predicting Model/09.Linear Regression.mp4 3.5 MB
  • 2.Build Your First Predicting Model/10.Predicting Weight Using Linear Regression.mp4 17.3 MB
  • 2.Build Your First Predicting Model/11.Assignment – Predicting Energy Output of a Power Plant.mp4 3.4 MB
  • 3.Image Classification Using Supervised Learning/12.Review of Predicting Energy Output of a Power Plant.mp4 20.7 MB
  • 3.Image Classification Using Supervised Learning/13.Logistic Regression.mp4 9.5 MB
  • 3.Image Classification Using Supervised Learning/14.Classifying Images Using Logistic Regression.mp4 12.9 MB
  • 3.Image Classification Using Supervised Learning/15.Support Vector Machines.mp4 3.3 MB
  • 3.Image Classification Using Supervised Learning/16.Kernels in a SVM.mp4 2.2 MB
  • 3.Image Classification Using Supervised Learning/17.Classifying Images Using Support Vector Machines.mp4 11.1 MB
  • 3.Image Classification Using Supervised Learning/18.Assignment – Start Image Classifying Using Support Vector Machines.mp4 6.1 MB
  • 4.Improving Model Accuracy/19.Review of Classifying Images Using Support Vector Machines.mp4 17.2 MB
  • 4.Improving Model Accuracy/20.Model Evaluation.mp4 5.3 MB
[磁力链接] 添加时间:2018-07-25 大小:338.5 MB 最近下载:2025-10-26 热度:2921

[FreeCourseSite.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 102.7 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:2021-03-11 大小:6.1 GB 最近下载:2025-10-26 热度:5146

[GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
  • 5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
  • 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
  • 7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
  • 8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
  • 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
  • 8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
  • 8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
  • 7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
  • 6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
  • 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
  • 2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
  • 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 8. Appendix/10. Is Theano Dead.mp4 18.7 MB
  • 8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
[磁力链接] 添加时间:2021-05-04 大小:1.1 GB 最近下载:2025-10-25 热度:1572

[DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

  • 5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
  • 5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
  • 3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
  • 2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
  • 4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
  • 5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
  • 3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
  • 2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
  • 2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
  • 5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
  • 5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
  • 2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
  • 3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
  • 2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB
[磁力链接] 添加时间:2022-01-18 大小:924.3 MB 最近下载:2025-10-25 热度:861

[ FreeCourseWeb.com ] The complete Machine Learning Data Science Course in Python (Updated).zip

  • [ FreeCourseWeb.com ] The complete Machine Learning Data Science Course in Python (Updated).zip 4.7 GB
[磁力链接] 添加时间:2022-03-15 大小:4.7 GB 最近下载:2025-10-25 热度:417

[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

[FreeCoursesOnline.Me] [Packt] Troubleshooting Python Deep Learning [FCO]

  • 1. Solutions to Convolutional Neural Network Problems – Part One_/02.Concatenate Two CNNs Correctly.mp4 77.6 MB
  • 1. Solutions to Convolutional Neural Network Problems – Part One_/01.The Course Overview.mp4 39.5 MB
  • 6. Solving NumPy Problems_/44.Turn ND Matrix Into 1D Vector.mp4 31.5 MB
  • 6. Solving NumPy Problems_/43.Fix load.npy Error in Python3.mp4 17.3 MB
  • 4.Solutions to LSTM Recurrent Neural Networks Problems/27.Working with Different Lengths of Input and Output Sequences.mp4 16.4 MB
  • 1. Solutions to Convolutional Neural Network Problems – Part One_/03.Splitting Trained Model.mp4 13.8 MB
  • 3. Solutions to Recurrent Neural Network Problems_/19.Wrong Input - ValueError – Error When Checking Input.mp4 13.8 MB
  • 5. Troubleshooting Models with scikit-learn_/35.Handling Missing Values.mp4 13.3 MB
  • 4.Solutions to LSTM Recurrent Neural Networks Problems/32.How To Do Text Classification with LSTM.mp4 11.9 MB
  • 1. Solutions to Convolutional Neural Network Problems – Part One_/06.High val_acc, But Low Accuracy in Practice.mp4 11.6 MB
  • 3. Solutions to Recurrent Neural Network Problems_/20.Correct Text Preparation for Machine Translation.mp4 11.0 MB
  • 5. Troubleshooting Models with scikit-learn_/37.Fixing Warning Messages.mp4 10.8 MB
  • 2. Solutions to Convolutional Neural Network Problems – Part Two_/11.Interpreting kernel_size Notation in CNNs.mp4 10.4 MB
  • 3. Solutions to Recurrent Neural Network Problems_/24.Preparing Data Correctly for Time Series Prediction.mp4 10.1 MB
  • 4.Solutions to LSTM Recurrent Neural Networks Problems/26.Stacking Multiple LSTM in Keras TypeError - Call() Got an Unexpected Keyword Argument 'return_sequences'.mp4 10.1 MB
  • 2. Solutions to Convolutional Neural Network Problems – Part Two_/13.Using Validation Accuracy.mp4 9.3 MB
  • 5. Troubleshooting Models with scikit-learn_/36.Evaluating Deep Learning Models Using Additional Metrics.mp4 9.1 MB
  • 2. Solutions to Convolutional Neural Network Problems – Part Two_/17.Shape Error When Training CIFAR-10 Dataset on CNN.mp4 9.1 MB
  • 6. Solving NumPy Problems_/41.Converting a 2D Matrix to a One-Hot Encoded Matrix.mp4 9.0 MB
  • 4.Solutions to LSTM Recurrent Neural Networks Problems/29.Using CNN-LSTM for Time Series Prediction.mp4 8.9 MB
[磁力链接] 添加时间:2021-03-22 大小:511.1 MB 最近下载:2025-10-25 热度:1475

Udemy.Deep.Learning.de.A.a.Zredes.neuronales.Python.desde.cero

  • Udemy.Deep.Learning.de.A.a.Zredes.neuronales.Python.desde.cero.part3.rar 2.1 GB
  • Udemy.Deep.Learning.de.A.a.Zredes.neuronales.Python.desde.cero.part4.rar 2.1 GB
  • Udemy.Deep.Learning.de.A.a.Zredes.neuronales.Python.desde.cero.part5.rar 2.1 GB
  • Udemy.Deep.Learning.de.A.a.Zredes.neuronales.Python.desde.cero.part2.rar 2.1 GB
  • Udemy.Deep.Learning.de.A.a.Zredes.neuronales.Python.desde.cero.part1.rar 2.1 GB
  • Udemy.Deep.Learning.de.A.a.Zredes.neuronales.Python.desde.cero.part6.rar 627.4 MB
[磁力链接] 添加时间:2021-03-12 大小:11.4 GB 最近下载:2025-10-25 热度:1388

[Tutorialsplanet.NET] 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 35.7 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 34.5 MB
  • 6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
  • 4. Crash Course Overview/2. NumPy Crash Course.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:2022-02-10 大小:2.4 GB 最近下载:2025-10-25 热度:862

Stone River Learning - Python Library SciPy

  • Stone River Learning - Python Library SciPy.iso 418.8 MB
  • More_info.txt 658 Bytes
[磁力链接] 添加时间:2018-04-21 大小:418.8 MB 最近下载:2025-10-25 热度:98

[ CourseBoat.com ] Udemy - Machine Learning for Predictive Maps in Python and Leaflet

  • ~Get Your Files Here !/6. Automating the Machine Learning Pipeline/2. Embedding the Machine Learning Pipeline in the Application.mp4 332.4 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 185.9 MB
  • ~Get Your Files Here !/5. Machine Learning/2. Data Pre-processing.mp4 158.0 MB
  • ~Get Your Files Here !/7. Leaflet Programming/7. Creating the Prediction Score Legend.mp4 155.0 MB
  • ~Get Your Files Here !/3. Writing the Django Server-Side Code/3. Adding the admin.py Code.mp4 142.9 MB
  • ~Get Your Files Here !/7. Leaflet Programming/5. Creating the Predicted High Risk Point Layer Group.mp4 138.9 MB
  • ~Get Your Files Here !/4. Writing the Application Front-end Code/7. Adding Markers.mp4 138.4 MB
  • ~Get Your Files Here !/4. Writing the Application Front-end Code/5. Adding the layout.html code.mp4 125.9 MB
  • ~Get Your Files Here !/5. Machine Learning/3. Model Selection.mp4 105.5 MB
  • ~Get Your Files Here !/7. Leaflet Programming/3. Creating the Point Layer Group.mp4 103.8 MB
  • ~Get Your Files Here !/7. Leaflet Programming/2. Creating the Marker Layer Group.mp4 98.4 MB
  • ~Get Your Files Here !/7. Leaflet Programming/6. Creating the Legend.mp4 97.8 MB
  • ~Get Your Files Here !/7. Leaflet Programming/1. Creating Multiple Basemaps.mp4 93.3 MB
  • ~Get Your Files Here !/7. Leaflet Programming/4. Creating the Predicted Point Layer Group.mp4 90.4 MB
  • ~Get Your Files Here !/2. Setup and Installations/3. Installing Django.mp4 78.0 MB
  • ~Get Your Files Here !/4. Writing the Application Front-end Code/2. Creating Django Views.mp4 66.0 MB
  • ~Get Your Files Here !/4. Writing the Application Front-end Code/3. Creating URL Patterns for the REST API.mp4 65.5 MB
  • ~Get Your Files Here !/4. Writing the Application Front-end Code/1. Creating Template Files.mp4 63.9 MB
  • ~Get Your Files Here !/4. Writing the Application Front-end Code/6. Creating our First Map.mp4 62.1 MB
  • ~Get Your Files Here !/5. Machine Learning/4. Model Evaluation and Building a Prediction Dataset.mp4 54.9 MB
[磁力链接] 添加时间:2022-04-10 大小:2.7 GB 最近下载:2025-10-25 热度:2082

[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

[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

[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

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
[磁力链接] 添加时间:2021-03-16 大小:6.0 GB 最近下载:2025-10-24 热度:2407


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