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Professional Certificate in Data Mining Machine Learning [Coursesghar]

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Professional Certificate in Data Mining Machine Learning [Coursesghar]

磁力链接/BT种子简介

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收录时间:2022-03-03
最近下载:2025-08-26

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文件列表

  • 8. Linear regression/3. Univariate Linear Regression Demo [Hands-on] Part 2- Linear Regression.mp4 280.6 MB
  • 12. Java programming for Data Scientists/15. Static.mp4 279.1 MB
  • 8. Linear regression/4. Multivariate Linear Regression Demo [Hands-on] Linear Regression.mp4 213.1 MB
  • 12. Java programming for Data Scientists/18. Object Oriented Programming - Lab Exercise 1 [With Solution].mp4 188.1 MB
  • 14. Web Development for Data Scientists/31. Final touches to the project.mp4 188.0 MB
  • 12. Java programming for Data Scientists/19. Object Oriented Programming - Lab Exercise 2.mp4 156.8 MB
  • 9. Logistic regression/1. Logistic regression.mp4 154.2 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/5. Create the models - The Discriminator.mp4 147.3 MB
  • 7. Natural Language Processing for Data Scientists/23. Preprocessing.mp4 145.6 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/4. Create the models - The Generator.mp4 144.9 MB
  • 7. Natural Language Processing for Data Scientists/22. Preparing the Training Set.mp4 139.7 MB
  • 3. Understanding Data With Statistics & Data Pre-processing/7. feature Selection Techniques Univariate Selection.mp4 138.7 MB
  • 12. Java programming for Data Scientists/27. Deadlock - Threads.mp4 134.8 MB
  • 8. Linear regression/2. Univariate Linear Regression Demo [Hands-on] Part 1- Linear Regression.mp4 133.3 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/8. Train the model - Part.mp4 130.7 MB
  • 12. Java programming for Data Scientists/25. Synchronization Part 1 [Method Synchronization].mp4 123.1 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/7. Define the training loop.mp4 118.4 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/9. Create a GIF.mp4 116.6 MB
  • 6. Naive Bayes Classifier with Python [Lecture & Demo]/1. Lecture & Demo Naive bayes classifier.mp4 113.6 MB
  • 14. Web Development for Data Scientists/15. CSS- bg & animations.mp4 113.5 MB
  • 10. Introduction to clustering [K - Means Clustering ]/2. K - Means Clustering.mp4 110.7 MB
  • 14. Web Development for Data Scientists/3. Introduction to HTML (HTML Basics) Part 3.mp4 109.1 MB
  • 14. Web Development for Data Scientists/28. Adding the JS Pt.1.mp4 105.9 MB
  • 14. Web Development for Data Scientists/29. Adding the JS Pt.2.mp4 102.9 MB
  • 7. Natural Language Processing for Data Scientists/24. Classification.mp4 97.0 MB
  • 5. Artificial Neural Networks [ Comprehensive Sessions]/1. Introduction to Artificial Neural Networks.mp4 96.5 MB
  • 12. Java programming for Data Scientists/3. Entering the Object oriented programming world - Classes & Objects.mp4 95.2 MB
  • 14. Web Development for Data Scientists/1. Introduction to HTML (HTML Basics) Part 1.mp4 95.1 MB
  • 7. Natural Language Processing for Data Scientists/15. Classification Tutorial Part 2 Feature Sets.mp4 94.9 MB
  • 14. Web Development for Data Scientists/20. JavaScript - Strings and JavaScript Methods.mp4 93.5 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/6. Define the loss and optimizers.mp4 92.3 MB
  • 14. Web Development for Data Scientists/5. HTML Tables - (HTML Basics) Part 5.mp4 91.0 MB
  • 14. Web Development for Data Scientists/30. Connection JS with HTML.mp4 89.2 MB
  • 12. Java programming for Data Scientists/73. Java 9 - New Features [Guest Lecture].mp4 85.9 MB
  • 7. Natural Language Processing for Data Scientists/21. Getting the Test Set.mp4 85.0 MB
  • 7. Natural Language Processing for Data Scientists/14. Classification Tutorial Part 1 Preprocessing movie reviews.mp4 82.5 MB
  • 2. Python Basics For Machine Learning/10. Flowcharts Questions and Answers # Problem Solving.mp4 82.1 MB
  • 14. Web Development for Data Scientists/23. Starting the project.mp4 81.4 MB
  • 14. Web Development for Data Scientists/17. JavaScript - Setup.mp4 81.1 MB
  • 12. Java programming for Data Scientists/9. Method Overloading Demo.mp4 80.2 MB
  • 7. Natural Language Processing for Data Scientists/9. Part of Speech Tagging Tutorial.mp4 77.2 MB
  • 7. Natural Language Processing for Data Scientists/8. Introduction to Part of Speech Tagging.mp4 77.2 MB
  • 4. Data Visualization with Python/1. Data preparation and Bar Chart.mp4 76.2 MB
  • 14. Web Development for Data Scientists/21. JavaScript - Variables.mp4 75.3 MB
  • 14. Web Development for Data Scientists/24. Adding the CSS Pt.1.mp4 75.1 MB
  • 7. Natural Language Processing for Data Scientists/25. Testing the Model.mp4 75.1 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/3. Load and prepare the dataset.mp4 72.4 MB
  • 14. Web Development for Data Scientists/25. Adding the CSS Pt.2.mp4 72.2 MB
  • 7. Natural Language Processing for Data Scientists/10. Introduction to Stopwords.mp4 71.3 MB
  • 12. Java programming for Data Scientists/44. TryCatchDemo.mp4 71.2 MB
  • 12. Java programming for Data Scientists/13. Inheritance Demo.mp4 69.5 MB
  • 10. Introduction to clustering [K - Means Clustering ]/1. What is clustering in Machine Learning.mp4 69.4 MB
  • 12. Java programming for Data Scientists/45. Multiple CatchBlock Demo.mp4 68.0 MB
  • 14. Web Development for Data Scientists/14. CSS - Rounded Corners.mp4 67.9 MB
  • 12. Java programming for Data Scientists/42. Exception Handling - Introduction.mp4 67.0 MB
  • 5. Artificial Neural Networks [ Comprehensive Sessions]/5. ANN - Illustrative Example.mp4 66.9 MB
  • 7. Natural Language Processing for Data Scientists/20. Creating a Twitter Application.mp4 66.4 MB
  • 12. Java programming for Data Scientists/17. Nested Classes - Inner Class.mp4 64.7 MB
  • 12. Java programming for Data Scientists/38. Java Object Serialization - Transient variable.mp4 60.9 MB
  • 14. Web Development for Data Scientists/27. Adding the CSS Pt.4.mp4 60.5 MB
  • 5. Artificial Neural Networks [ Comprehensive Sessions]/2. Creating the First ANN from Scratch with Python.mp4 60.3 MB
  • 14. Web Development for Data Scientists/18. JavaScript - Live IDE.mp4 60.2 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/10. GAN vs DCGAN difference.mp4 59.7 MB
  • 7. Natural Language Processing for Data Scientists/11. Named Entity Recognition Lecture.mp4 57.4 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/12. Download the Source code.mp4 57.3 MB
  • 14. Web Development for Data Scientists/4. Introduction to HTML (HTML Basics) Part 4.mp4 57.1 MB
  • 5. Artificial Neural Networks [ Comprehensive Sessions]/3. Multiple Input Neuron.mp4 56.4 MB
  • 12. Java programming for Data Scientists/37. Java Object Serialization Serialization - Read an object from file.mp4 56.1 MB
  • 14. Web Development for Data Scientists/2. Introduction to HTML (HTML Basics) Part 2.mp4 55.5 MB
  • 14. Web Development for Data Scientists/26. Adding the CSS Pt.3.mp4 55.4 MB
  • 12. Java programming for Data Scientists/46. TryAndFinally Demo.mp4 55.2 MB
  • 12. Java programming for Data Scientists/26. Synchronization Part 2 [Synchronized Block].mp4 54.9 MB
  • 12. Java programming for Data Scientists/36. Java Object Serialization - Write an object to a file.mp4 54.7 MB
  • 14. Web Development for Data Scientists/10. CSS- Selectors Pt.2.mp4 53.2 MB
  • 14. Web Development for Data Scientists/22. JavaScript - Operators.mp4 52.9 MB
  • 12. Java programming for Data Scientists/51. Vector [Lecture & Demo].mp4 52.4 MB
  • 12. Java programming for Data Scientists/33. Character Streams Demo.mp4 50.2 MB
  • 12. Java programming for Data Scientists/56. String reverse example using recursion.mp4 50.0 MB
  • 1. Setting up the Environment for Python Machine Learning/2. Downloading and Setting up Python and PyCharm IDE.mp4 49.8 MB
  • 14. Web Development for Data Scientists/11. CSS - Colours.mp4 49.7 MB
  • 12. Java programming for Data Scientists/11. Encapsulation.mp4 45.8 MB
  • 4. Data Visualization with Python/2. Data Visualization with Python Histogram , Pie Chart, etc...mp4 45.7 MB
  • 12. Java programming for Data Scientists/31. Byte Streams Demo.mp4 45.4 MB
  • 14. Web Development for Data Scientists/8. CSS - Video 3.mp4 44.6 MB
  • 12. Java programming for Data Scientists/47. Introduction to Generics.mp4 44.0 MB
  • 14. Web Development for Data Scientists/6. CSS - Introduction.mp4 43.7 MB
  • 12. Java programming for Data Scientists/43. Exception Handling - Termination Demo.mp4 43.6 MB
  • 12. Java programming for Data Scientists/55. Find the GCD (Greatest Common Devisor).mp4 42.1 MB
  • 12. Java programming for Data Scientists/22. Creating Threads [Using Runnable Interface].mp4 41.6 MB
  • 12. Java programming for Data Scientists/35. Listing Directories.mp4 41.5 MB
  • 14. Web Development for Data Scientists/12. CSS - Backgroud Colour.mp4 41.5 MB
  • 7. Natural Language Processing for Data Scientists/13. Classification Lecture.mp4 40.0 MB
  • 7. Natural Language Processing for Data Scientists/16. Classification Tutorial Part 3 Naive Bayes.mp4 39.2 MB
  • 7. Natural Language Processing for Data Scientists/2. Setting up the Environment for NLP - ACH.mp4 39.2 MB
  • 12. Java programming for Data Scientists/14. Inheritance - instanceof Demo.mp4 37.9 MB
  • 7. Natural Language Processing for Data Scientists/7. Normalization Tutorial.mp4 37.9 MB
  • 14. Web Development for Data Scientists/16. Javascript - Introduction.mp4 37.5 MB
  • 14. Web Development for Data Scientists/9. CSS- Selectors Pt.1.mp4 36.4 MB
  • 2. Python Basics For Machine Learning/8. Software Design - Flowcharts - Sequence.mp4 36.0 MB
  • 14. Web Development for Data Scientists/7. CSS - Video 2.mp4 35.1 MB
  • 7. Natural Language Processing for Data Scientists/3. Introduction to Tokenization.mp4 34.3 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/2. Import TensorFlow and other libraries.mp4 34.2 MB
  • 7. Natural Language Processing for Data Scientists/6. Introduction to Normalization.mp4 34.1 MB
  • 7. Natural Language Processing for Data Scientists/4. Downloading and Setting up NLTK.mp4 33.1 MB
  • 12. Java programming for Data Scientists/21. Creating Threads [Extending the Thread Class].mp4 32.6 MB
  • 12. Java programming for Data Scientists/8. Method Overloading.mp4 32.3 MB
  • 12. Java programming for Data Scientists/50. ArrayList Demonstration.mp4 29.2 MB
  • 12. Java programming for Data Scientists/40. Java Garbage Collection Part 2.mp4 29.0 MB
  • 2. Python Basics For Machine Learning/2. Python For Absolute Beginners - Variables - Part 2.mp4 28.7 MB
  • 7. Natural Language Processing for Data Scientists/27. Python For Beginners Variables Part 2.mp4 28.7 MB
  • 12. Java programming for Data Scientists/74. Java 9 Interfaces - What's New.mp4 28.4 MB
  • 12. Java programming for Data Scientists/24. Pausing the execution of a thread.mp4 28.2 MB
  • 2. Python Basics For Machine Learning/1. Python For Absolute Beginners - Variables - Part 1.mp4 28.1 MB
  • 7. Natural Language Processing for Data Scientists/26. Python For Beginners Variables Part 1.mp4 27.9 MB
  • 7. Natural Language Processing for Data Scientists/12. Named Entity Recognition Tutorial.mp4 27.0 MB
  • 12. Java programming for Data Scientists/5. Creating Objects from Classes.mp4 26.8 MB
  • 2. Python Basics For Machine Learning/7. Software Design - Problem Solving.mp4 26.2 MB
  • 7. Natural Language Processing for Data Scientists/5. Tokenization Tutorial.mp4 25.3 MB
  • 2. Python Basics For Machine Learning/9. Software Design - Repetition.mp4 25.1 MB
  • 13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/13. Output.mp4 25.0 MB
  • 12. Java programming for Data Scientists/48. Arrays Part 1.mp4 24.9 MB
  • 7. Natural Language Processing for Data Scientists/30. Python For Beginners - Lists Part 2.mp4 23.7 MB
  • 12. Java programming for Data Scientists/34. Creating Directories.mp4 23.5 MB
  • 2. Python Basics For Machine Learning/5. Python For Absolute Beginners - Lists Part 2.mp4 23.4 MB
  • 14. Web Development for Data Scientists/13. CSS - Padding.mp4 22.6 MB
  • 7. Natural Language Processing for Data Scientists/17. Classification Homework Exercise.mp4 21.9 MB
  • 12. Java programming for Data Scientists/49. Arrays Part 2 -Insert search delete (unordered array).mp4 21.2 MB
  • 2. Python Basics For Machine Learning/3. Python For Absolute Beginners - Variables - Part 3.mp4 20.5 MB
  • 7. Natural Language Processing for Data Scientists/28. Python For Beginners Variables Part 3.mp4 20.4 MB
  • 7. Natural Language Processing for Data Scientists/29. Python For Beginners - Lists.mp4 19.3 MB
  • 2. Python Basics For Machine Learning/4. Python For Absolute Beginners - Lists.mp4 19.1 MB
  • 12. Java programming for Data Scientists/39. Java Garbage Collection Part 1.mp4 18.9 MB
  • 12. Java programming for Data Scientists/16. Abstract Classes.mp4 18.7 MB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/data/mnist-demo.csv 18.3 MB
  • 12. Java programming for Data Scientists/28. Download Eclipse.mp4 18.2 MB
  • 2. Python Basics For Machine Learning/6. Python For Absolute Beginners - Lists Part 3.mp4 18.0 MB
  • 7. Natural Language Processing for Data Scientists/31. Python For Beginners - Lists Part 3.mp4 18.0 MB
  • 12. Java programming for Data Scientists/30. Byte Streams.mp4 14.3 MB
  • 12. Java programming for Data Scientists/6. Constructors.mp4 14.0 MB
  • 12. Java programming for Data Scientists/54. Splitting the string using the split() method.mp4 13.7 MB
  • 12. Java programming for Data Scientists/4. Classes & Objects.mp4 12.6 MB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/data/fashion-mnist-demo.csv 11.1 MB
  • 12. Java programming for Data Scientists/12. Inheritance.mp4 10.9 MB
  • 12. Java programming for Data Scientists/10. Data Abstraction.mp4 10.6 MB
  • 12. Java programming for Data Scientists/53. Find factorial of a number using recursion.mp4 10.2 MB
  • 12. Java programming for Data Scientists/2. JDK,JRE ,JVM, Platform & Classloader.mp4 9.9 MB
  • 14. Web Development for Data Scientists/19. JavaScript - Arithmetic Operators.mp4 9.7 MB
  • 8. Linear regression/1. Linear regression.mp4 9.1 MB
  • 12. Java programming for Data Scientists/29. IO Streams [Introduction].mp4 8.6 MB
  • 12. Java programming for Data Scientists/7. Methods (parameter vs arguement).mp4 6.9 MB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/linear_regression/multivariate_linear_regression_demo.ipynb 6.1 MB
  • 12. Java programming for Data Scientists/1. Major Java Features.mp4 5.6 MB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/neural_network/multilayer_perceptron_fashion_demo.ipynb 378.8 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/logistic_regression/multivariate_logistic_regression_fashion_demo.ipynb 343.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/binder-button-place.png 333.1 kB
  • Excersice files/19.1 LabExercise2with+Solution/LabExercise2with Solution/LabE2.docx 243.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/neural_network/multilayer_perceptron_demo.ipynb 233.1 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb 201.1 kB
  • Excersice files/18.1 LabExercise1with+Solution/LabExercise1with Solution/LabExercise1.docx 169.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/machine-learning-map.png 156.8 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/linear_regression/univariate_linear_regression_demo.ipynb 121.5 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/backpropagation.svg 118.7 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/anomaly_detection/anomaly_detection_gaussian_demo.ipynb 114.0 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/logistic_regression/logistic_regression_with_linear_boundary_demo.ipynb 84.6 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/logistic_regression/logistic_regression_with_non_linear_boundary_demo.ipynb 77.2 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/linear_regression/non_linear_regression_demo.ipynb 74.1 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/k_means/k_means_demo.ipynb 72.6 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/k_means/k-means-algorithm.svg 64.9 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/forward-propagation-example.svg 53.5 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/cost-function.svg 49.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/gradient-descent-3.svg 44.8 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/delta-3-2.svg 41.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/cost-function-with-regularization.svg 34.9 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/multi-class-network.drawio.svg 32.9 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/anomaly_detection/p-x.svg 32.5 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/data/world-happiness-report-2017.csv 29.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/cost-function-3.svg 29.2 kB
  • Excersice files/11.1 source/source/dcgan (1).ipynb 28.1 kB
  • 8. Linear regression/3. Univariate Linear Regression Demo [Hands-on] Part 2- Linear Regression.srt 27.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/h-Theta-example.svg 26.8 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/cost-function-4.svg 24.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/anomaly_detection/p-x-2.svg 24.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/linear_regression/polynomial-regression.svg 24.1 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/linear_regression/gradient-descent-3.svg 22.6 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/cost-function-1.svg 21.7 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/k_means/cost-function.svg 21.3 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/training-set-1.svg 21.3 kB
  • 7. Natural Language Processing for Data Scientists/22. Preparing the Training Set.srt 21.0 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/training-set.svg 20.9 kB
  • 14. Web Development for Data Scientists/1. Introduction to HTML (HTML Basics) Part 1.srt 20.8 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/neuron-network.drawio.svg 20.7 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/a-3-2.svg 20.6 kB
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  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/predict-0.svg 18.7 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/predict-1.svg 18.7 kB
  • 14. Web Development for Data Scientists/3. Introduction to HTML (HTML Basics) Part 3.srt 18.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/linear_regression/gradient-descent-2.svg 18.4 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/gradient-descent-2.svg 18.4 kB
  • 8. Linear regression/4. Multivariate Linear Regression Demo [Hands-on] Linear Regression.srt 18.2 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/z-3.svg 18.2 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/y-i-multi.svg 17.8 kB
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  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/pylintrc 17.1 kB
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  • 7. Natural Language Processing for Data Scientists/23. Preprocessing.srt 16.5 kB
  • Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/z-matrix.svg 16.1 kB
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