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[ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Building Web Crawlers for Data Acquisition with Python Scrapy.zip

  • [ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Building Web Crawlers for Data Acquisition with Python Scrapy.zip 502.1 MB
[磁力链接] 添加时间:2022-01-21 大小:502.1 MB 最近下载:2025-10-27 热度:1490

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

  • [ FreeCourseWeb.com ] Udemy - Python for Data Science and Machine Learning beginners.zip 2.8 GB
[磁力链接] 添加时间:2022-01-21 大小:2.8 GB 最近下载:2025-09-10 热度:654

[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
  • 22 Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
  • 19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
  • 19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
  • 07 ANNs/013 Multi-output ANN (iris dataset).mp4 195.8 MB
  • 19 Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
  • 09 Regularization/004 Dropout regularization in practice.mp4 192.1 MB
  • 16 Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
  • 18 Convolution and transformations/003 Convolution in code.mp4 181.5 MB
  • 08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
  • 23 Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
  • 07 ANNs/009 Learning rates comparison.mp4 176.8 MB
  • 12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
  • 11 FFNs/003 FFN to classify digits.mp4 169.7 MB
  • 16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
  • 07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
  • 12 More on data/007 Data feature augmentation.mp4 166.0 MB
  • 21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
  • 14 FFN milestone projects/004 Project 2_ My solution.mp4 163.3 MB
  • 21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.mp4 160.8 MB
[磁力链接] 添加时间:2022-01-20 大小:22.7 GB 最近下载:2025-10-15 热度:1058

[FreeCourseSite.com] Udemy - Machine Learning in Python with 5 Machine Learning Projects

  • 12. Tree Based Models/2. Attribute selection method- Gini Index and Entropy.mp4 229.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/6. Introduction to Naive Bayes.mp4 183.2 MB
  • 13. Boosting Models/2. Intuition for Adaboost and Gradient Boosting.mp4 160.7 MB
  • 10. Logistic Regression/8. Using ROC-AUC score to analyze the performance of model.mp4 154.8 MB
  • 10. Logistic Regression/6. How to analyze performance of a classification model.mp4 153.3 MB
  • 13. Boosting Models/7. Introudction to Ensembling techniques.mp4 140.5 MB
  • 20. Predicting Health Expense of Customers/8. Applying Linear Regression Model.mp4 134.3 MB
  • 2. Python for Data Analysis/17. Time Complexity.mp4 126.0 MB
  • 2. Python for Data Analysis/21. Insertion and Selection Sort.mp4 125.8 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.7 MB
  • 18. Time Series Forecasting/8. Handling Missing Values.mp4 122.1 MB
  • 2. Python for Data Analysis/22. Merge Sort.mp4 121.0 MB
  • 17. Recommendation Engines/19. Introduction to SVD.mp4 117.5 MB
  • 2. Python for Data Analysis/19. Binary Search.mp4 114.9 MB
  • 9. Linear Regression/6. Analyzing the performance of Regression models.mp4 114.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/1. Introduction to Support Vector machines.mp4 113.4 MB
  • 9. Linear Regression/9. Applying real time prediction on our model.mp4 112.8 MB
  • 9. Linear Regression/7. R2 score and adjuted R2 score intuition.mp4 112.2 MB
  • 10. Logistic Regression/1. Introduction to Logistic Regression.mp4 111.6 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.4 MB
[磁力链接] 添加时间:2022-01-20 大小:22.4 GB 最近下载:2025-10-22 热度:1127

[FreeCourseSite.com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
  • 6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
  • 1. Welcome/5. Warmup.mp4 65.6 MB
  • 8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
  • 5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
  • 4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • 2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • 2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
  • 10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2022-01-20 大小:4.4 GB 最近下载:2025-10-17 热度:1762

Recommender Systems and Deep Learning in Python

  • Recommender Systems and Deep Learning in Python/8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
  • Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
  • Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/10. What order should I take your courses in (part 2).mp4 129.0 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
  • Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
  • Recommender Systems and Deep Learning in Python/6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
  • Recommender Systems and Deep Learning in Python/2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
  • Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
  • Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/9. What order should I take your courses in (part 1).mp4 92.7 MB
  • Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • Recommender Systems and Deep Learning in Python/6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
  • Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
  • Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
  • Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
  • Recommender Systems and Deep Learning in Python/7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.4 MB
[磁力链接] 添加时间:2022-01-19 大小:4.4 GB 最近下载:2025-08-31 热度:258

[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

[ 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

Learning Python

  • [6] 5. Working with Web Data/[2] Working with JSON data.mp4 36.4 MB
  • [6] 5. Working with Web Data/[3] Parsing and processing HTML.mp4 33.2 MB
  • [4] 3. Working with Dates and Time/[4] Working with calendars.mp4 28.1 MB
  • [5] 4. Working with Files/[3] Using file system shell methods.mp4 26.1 MB
  • [1] Introduction/[1] Learning Python.mp4 24.8 MB
  • [4] 3. Working with Dates and Time/[3] Using timedelta objects.mp4 24.2 MB
  • [3] 2. Python Basics/[4] Python functions.mp4 23.4 MB
  • [5] 4. Working with Files/[2] Working with OS path utilities.mp4 23.1 MB
  • [2] 1. Getting Started/[3] Installing VS Code.mp4 21.3 MB
  • [3] 2. Python Basics/[1] Your first Python program.mp4 20.8 MB
  • [3] 2. Python Basics/[6] Loops.mp4 20.4 MB
  • [4] 3. Working with Dates and Time/[1] The date, time, and datetime classes.mp4 18.9 MB
  • [3] 2. Python Basics/[7] Classes.mp4 17.0 MB
  • [6] 5. Working with Web Data/[4] Manipulating XML.mp4 16.5 MB
  • [4] 3. Working with Dates and Time/[2] Formatting time output.mp4 16.5 MB
  • [3] 2. Python Basics/[3] Variables and expressions.mp4 16.0 MB
  • [5] 4. Working with Files/[1] Reading and writing files.mp4 14.6 MB
  • [3] 2. Python Basics/[5] Conditional structures.mp4 13.7 MB
  • [3] 2. Python Basics/[2] Running Python from VS Code.mp4 12.6 MB
  • [3] 2. Python Basics/[8] Importing and using modules.mp4 11.3 MB
[磁力链接] 添加时间:2022-01-18 大小:445.1 MB 最近下载:2025-10-25 热度:1236

[ FreeCourseWeb.com ] Coursera - Machine Learning with Python.zip

  • [ FreeCourseWeb.com ] Coursera - Machine Learning with Python.zip 332.2 MB
[磁力链接] 添加时间:2022-01-17 大小:332.2 MB 最近下载:2025-10-27 热度:1230

[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

[ FreeCourseWeb.com ] Oreilly - Python Application Series- Machine Learning Using Tensorflow.zip

  • [ FreeCourseWeb.com ] Oreilly - Python Application Series- Machine Learning Using Tensorflow.zip 799.2 MB
[磁力链接] 添加时间:2022-01-17 大小:799.2 MB 最近下载:2025-10-20 热度:3078

[ FreeCourseWeb.com ] Udemy - The Complete Intro to Machine Learning with Python

  • ~Get Your Files Here !/6. Introduction to ML/1. Goals and Types of Machine Learning.mp4 216.2 MB
  • ~Get Your Files Here !/7. Linear Regression/3. Implementation Part 1.mp4 199.8 MB
  • ~Get Your Files Here !/4. Pandas/2. Implementation.mp4 182.8 MB
  • ~Get Your Files Here !/8. Logistic Regression/1. Logistic Regression Theory.mp4 139.0 MB
  • ~Get Your Files Here !/9. Decision Trees/2. Splitting Algorithms.mp4 105.2 MB
  • ~Get Your Files Here !/7. Linear Regression/1. Linear Regression Theory.mp4 101.4 MB
  • ~Get Your Files Here !/5. Seaborn/3. Implementation.mp4 100.3 MB
  • ~Get Your Files Here !/7. Linear Regression/2. Ordinary Least Squares (OLS).mp4 93.9 MB
  • ~Get Your Files Here !/5. Seaborn/1. Distribution and Matrix Plots.mp4 93.7 MB
  • ~Get Your Files Here !/10. Neural Networks/6. Backpropagation.mp4 93.5 MB
  • ~Get Your Files Here !/4. Pandas/1. Pandas Basics.mp4 91.6 MB
  • ~Get Your Files Here !/9. Decision Trees/4. Implementation.mp4 87.9 MB
  • ~Get Your Files Here !/1. Welcome to the Course/1. Introduction.mp4 86.8 MB
  • ~Get Your Files Here !/2. Python Review/3. Implementation.mp4 86.3 MB
  • ~Get Your Files Here !/3. Numpy/2. Implementation.mp4 84.6 MB
  • ~Get Your Files Here !/2. Python Review/1. Variable Types.mp4 78.6 MB
  • ~Get Your Files Here !/2. Python Review/2. Lists and Functions.mp4 77.3 MB
  • ~Get Your Files Here !/8. Logistic Regression/2. Logistic Regression Metrics and Implementation.mp4 71.7 MB
  • ~Get Your Files Here !/5. Seaborn/2. Categorical Plots, Regression Plots, and GridsStyle.mp4 69.6 MB
  • ~Get Your Files Here !/3. Numpy/1. Numpy Basics.mp4 62.3 MB
[磁力链接] 添加时间:2022-01-17 大小:2.5 GB 最近下载:2025-08-28 热度:396

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

  • 23. Example Python GUI projects (Part 2)/1. Application for calculation of an Area of a Circle in Python GUI.mp4 112.4 MB
  • 23. Example Python GUI projects (Part 2)/3. Application for calculation of an Area of a Triangle in Python GUI.mp4 111.1 MB
  • 23. Example Python GUI projects (Part 2)/2. Application for calculation of an Area of a Rectangle in Python GUI.mp4 107.6 MB
  • 03. Programming with PyCharm/1. Download and Installation of PyCharm.mp4 91.2 MB
  • 07. Functions and Modules/3. User define functions.mp4 88.5 MB
  • 20. RadioButtons in Python GUI/3. How to add more functionality to RadioButton.mp4 87.7 MB
  • 07. Functions and Modules/5. Round up of Functions and Modules.mp4 86.4 MB
  • 06. Sequences in Python/1. List [ ] in Python.mp4 85.5 MB
  • 05. Loop systems in Python/5. String properties in Python.mp4 69.2 MB
  • 07. Functions and Modules/7. Example of Time module.mp4 65.8 MB
  • 03. Programming with PyCharm/2. How to use PyCharm for Python programming.mp4 63.5 MB
  • 22. Data Entry/2. How to delete an entry in Data Entry block.mp4 60.1 MB
  • 20. RadioButtons in Python GUI/1. RadioButtons in GUI.mp4 58.4 MB
  • 20. RadioButtons in Python GUI/2. More on RadioButtons.mp4 56.0 MB
  • 21. Checkboxes in Python/2. How to get the values of Checkboxes.mp4 54.9 MB
  • 21. Checkboxes in Python/3. How to print out selected items from checkbox.mp4 53.4 MB
  • 05. Loop systems in Python/1. for loop in Python.mp4 51.5 MB
  • 01. Programming with Python Shell/4. How to prevent auto-close in Python Shell.mp4 49.8 MB
  • 25. Graphics Designs and Images in Python GUI/1. How to make graphics design in Python GUI.mp4 49.7 MB
  • 22. Data Entry/1. How to create data entry blocks.mp4 49.2 MB
[磁力链接] 添加时间:2022-01-16 大小:2.9 GB 最近下载:2025-09-10 热度:96

[FreeCourseLab.com] Udemy - Python for Machine Learning with Numpy, Pandas & Matplotlib

  • 01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
  • 02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
  • 02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
  • 03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
  • 03 Data Visualization/002 Data Visualizaton _ Part 2.mp4 281.5 MB
  • 03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
  • 03 Data Visualization/004 titanic_train.csv 60.3 kB
  • 03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
  • 02 Numpy & Pandas for Data Science/002 Numpy Tutorials.ipynb 26.4 kB
  • 02 Numpy & Pandas for Data Science/002 Pandas.ipynb 15.2 kB
  • 02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
  • 02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
  • [FreeCourseLab.com].url 126 Bytes
[磁力链接] 添加时间:2022-01-16 大小:4.4 GB 最近下载:2025-09-21 热度:413

Master Computer Vision™ OpenCV4 in Python with Deep Learning- [UdemyCourseDownloader]

  • 19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz 149.5 MB
  • 12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.1 DeepLearningCV_MOCV.tar.gz.gz 142.0 MB
  • 1. Course Introduction and Setup/9.2 MasteringComputerVision_V1.03.zip.zip 133.7 MB
  • 18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz 126.7 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
  • 1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz 121.8 MB
  • 20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz 120.1 MB
  • 4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 113.1 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.8 MB
  • 14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/3. Convolutions & Image Features.mp4 107.4 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
  • 1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp4 94.3 MB
  • 12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1. Setup your Deep Learning Virtual Machine.mp4 81.2 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.mp4 78.0 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4 77.3 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
  • 12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/2. Intro to Handwritten Digit Classification (MNIST).mp4 70.6 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip 68.9 MB
  • 6. Object Detection - Build a Face, People and CarVehicle Detectors/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 68.4 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4 66.4 MB
[磁力链接] 添加时间:2022-01-16 大小:4.2 GB 最近下载:2025-10-24 热度:1576

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

  • 6. Setting Up Your Environment (FAQ by Student Request)/1. Anaconda Environment Setup.mp4 195.3 MB
  • 7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 1. Welcome/3. Statistics vs. Machine Learning.mp4 58.2 MB
  • 6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 1. Welcome/2. How to Succeed in this Course.mp4 46.0 MB
  • 1. Welcome/1. Introduction and Outline.mp4 44.8 MB
  • 8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 9. Appendix FAQ Finale/2. BONUS.mp4 39.7 MB
  • 8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • 3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
  • 8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
  • 2. 1-D Linear Regression Theory and Code/4. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • 7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • 4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • 2. 1-D Linear Regression Theory and Code/11. Moore's Law Derivation.mp4 21.2 MB
  • 2. 1-D Linear Regression Theory and Code/3. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
  • 8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 2. 1-D Linear Regression Theory and Code/10. 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
[磁力链接] 添加时间:2022-01-15 大小:1.1 GB 最近下载:2025-10-17 热度:1103

[ TutPig.com ] Udemy - Python for Bioinformatics-Self Learning Course

  • ~Get Your Files Here !/3. Text Manipulation & Printing/5. Substrings.mp4 122.5 MB
  • ~Get Your Files Here !/6. Conditional Test & Regular Expression/1. If Else.mp4 105.5 MB
  • ~Get Your Files Here !/6. Conditional Test & Regular Expression/2. Multiple If Else.mp4 104.5 MB
  • ~Get Your Files Here !/5. List & Loops/3. DifStrListForloop.mp4 103.1 MB
  • ~Get Your Files Here !/3. Text Manipulation & Printing/4. Methods.mp4 94.4 MB
  • ~Get Your Files Here !/4. Read & Write Files/3. Read Write Explained.mp4 92.0 MB
  • ~Get Your Files Here !/1. Introduction to Python for Bio informatics/1. Intro & What will you learn in this course.mp4 86.4 MB
  • ~Get Your Files Here !/2. Python Fundamentals/3. Variables.mp4 85.1 MB
  • ~Get Your Files Here !/4. Read & Write Files/2. Open Read.mp4 83.6 MB
  • ~Get Your Files Here !/5. List & Loops/6. Own function.mp4 82.2 MB
  • ~Get Your Files Here !/6. Conditional Test & Regular Expression/3. While loop.mp4 76.3 MB
  • ~Get Your Files Here !/5. List & Loops/2. List Method.mp4 72.5 MB
  • ~Get Your Files Here !/5. List & Loops/5. Dictionaries.mp4 69.9 MB
  • ~Get Your Files Here !/6. Conditional Test & Regular Expression/4. Regular Expression.mp4 69.2 MB
  • ~Get Your Files Here !/5. List & Loops/4. For Loop Implement.mp4 68.8 MB
  • ~Get Your Files Here !/2. Python Fundamentals/1. Session1 Object Oriented Programming.mp4 65.1 MB
  • ~Get Your Files Here !/4. Read & Write Files/1. Module Flowchart.mp4 54.9 MB
  • ~Get Your Files Here !/3. Text Manipulation & Printing/1. Print String.mp4 54.5 MB
  • ~Get Your Files Here !/5. List & Loops/1. Input List.mp4 47.9 MB
  • ~Get Your Files Here !/3. Text Manipulation & Printing/2. Variable Print.mp4 34.5 MB
[磁力链接] 添加时间:2022-01-14 大小:1.6 GB 最近下载:2025-10-28 热度:2053

Python Machine Learning, Deep Learning, Pandas, Matplotlib

  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/002 Project - 2.mp4 177.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/001 Project - 1.mp4 106.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/003 Project - 3.mp4 86.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/10 Geoplotlib/003 Example - 2.mp4 80.0 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/007 Numpy Exercises.mp4 77.8 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 75.9 MB
[磁力链接] 添加时间:2022-01-14 大小:4.9 GB 最近下载:2025-10-27 热度:4471

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

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. 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/22. 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/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2022-01-14 大小:5.4 GB 最近下载:2025-09-22 热度:1370


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