Professional Certificate in Data Mining Machine Learning [Coursesghar]

Creation Time	March 1, 2025, 8:06 p.m.
Last Access Time	March 3, 2025, 3:29 a.m.
File Size	8.8 GB
Keywords	Mining Coursesghar Certificate Machine Learning in Professional Data
Total Requests	3
Total Files	536
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8. Linear regression/3. Univariate Linear Regression Demo [Hands-on] Part 2- Linear Regression.mp4 267.6 MB
12. Java programming for Data Scientists/15. Static.mp4 266.2 MB
8. Linear regression/4. Multivariate Linear Regression Demo [Hands-on] Linear Regression.mp4 203.2 MB
12. Java programming for Data Scientists/18. Object Oriented Programming - Lab Exercise 1 [With Solution].mp4 179.4 MB
14. Web Development for Data Scientists/31. Final touches to the project.mp4 179.3 MB
12. Java programming for Data Scientists/19. Object Oriented Programming - Lab Exercise 2.mp4 149.6 MB
9. Logistic regression/1. Logistic regression.mp4 147.1 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/5. Create the models - The Discriminator.mp4 140.5 MB
7. Natural Language Processing for Data Scientists/23. Preprocessing.mp4 138.8 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/4. Create the models - The Generator.mp4 138.2 MB
7. Natural Language Processing for Data Scientists/22. Preparing the Training Set.mp4 133.2 MB
3. Understanding Data With Statistics & Data Pre-processing/7. feature Selection Techniques Univariate Selection.mp4 132.3 MB
12. Java programming for Data Scientists/27. Deadlock - Threads.mp4 128.6 MB
8. Linear regression/2. Univariate Linear Regression Demo [Hands-on] Part 1- Linear Regression.mp4 127.1 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/8. Train the model - Part.mp4 124.6 MB
12. Java programming for Data Scientists/25. Synchronization Part 1 [Method Synchronization].mp4 117.4 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/7. Define the training loop.mp4 112.9 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/9. Create a GIF.mp4 111.2 MB
6. Naive Bayes Classifier with Python [Lecture & Demo]/1. Lecture & Demo Naive bayes classifier.mp4 108.3 MB
14. Web Development for Data Scientists/15. CSS- bg & animations.mp4 108.3 MB
10. Introduction to clustering [K - Means Clustering ]/2. K - Means Clustering.mp4 105.6 MB
14. Web Development for Data Scientists/3. Introduction to HTML (HTML Basics) Part 3.mp4 104.0 MB
14. Web Development for Data Scientists/28. Adding the JS Pt.1.mp4 101.0 MB
14. Web Development for Data Scientists/29. Adding the JS Pt.2.mp4 98.1 MB
7. Natural Language Processing for Data Scientists/24. Classification.mp4 92.5 MB
5. Artificial Neural Networks [ Comprehensive Sessions]/1. Introduction to Artificial Neural Networks.mp4 92.0 MB
12. Java programming for Data Scientists/3. Entering the Object oriented programming world - Classes & Objects.mp4 90.8 MB
14. Web Development for Data Scientists/1. Introduction to HTML (HTML Basics) Part 1.mp4 90.7 MB
7. Natural Language Processing for Data Scientists/15. Classification Tutorial Part 2 Feature Sets.mp4 90.5 MB
14. Web Development for Data Scientists/20. JavaScript - Strings and JavaScript Methods.mp4 89.2 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/6. Define the loss and optimizers.mp4 88.0 MB
14. Web Development for Data Scientists/5. HTML Tables - (HTML Basics) Part 5.mp4 86.8 MB
14. Web Development for Data Scientists/30. Connection JS with HTML.mp4 85.1 MB
12. Java programming for Data Scientists/73. Java 9 - New Features [Guest Lecture].mp4 81.9 MB
7. Natural Language Processing for Data Scientists/21. Getting the Test Set.mp4 81.1 MB
7. Natural Language Processing for Data Scientists/14. Classification Tutorial Part 1 Preprocessing movie reviews.mp4 78.6 MB
2. Python Basics For Machine Learning/10. Flowcharts Questions and Answers # Problem Solving.mp4 78.3 MB
14. Web Development for Data Scientists/23. Starting the project.mp4 77.6 MB
14. Web Development for Data Scientists/17. JavaScript - Setup.mp4 77.3 MB
12. Java programming for Data Scientists/9. Method Overloading Demo.mp4 76.5 MB
7. Natural Language Processing for Data Scientists/9. Part of Speech Tagging Tutorial.mp4 73.6 MB
7. Natural Language Processing for Data Scientists/8. Introduction to Part of Speech Tagging.mp4 73.6 MB
4. Data Visualization with Python/1. Data preparation and Bar Chart.mp4 72.7 MB
14. Web Development for Data Scientists/21. JavaScript - Variables.mp4 71.8 MB
14. Web Development for Data Scientists/24. Adding the CSS Pt.1.mp4 71.6 MB
7. Natural Language Processing for Data Scientists/25. Testing the Model.mp4 71.6 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/3. Load and prepare the dataset.mp4 69.0 MB
14. Web Development for Data Scientists/25. Adding the CSS Pt.2.mp4 68.9 MB
7. Natural Language Processing for Data Scientists/10. Introduction to Stopwords.mp4 68.0 MB
12. Java programming for Data Scientists/44. TryCatchDemo.mp4 67.9 MB
12. Java programming for Data Scientists/13. Inheritance Demo.mp4 66.3 MB
10. Introduction to clustering [K - Means Clustering ]/1. What is clustering in Machine Learning.mp4 66.2 MB
12. Java programming for Data Scientists/45. Multiple CatchBlock Demo.mp4 64.8 MB
14. Web Development for Data Scientists/14. CSS - Rounded Corners.mp4 64.8 MB
12. Java programming for Data Scientists/42. Exception Handling - Introduction.mp4 63.9 MB
5. Artificial Neural Networks [ Comprehensive Sessions]/5. ANN - Illustrative Example.mp4 63.8 MB
7. Natural Language Processing for Data Scientists/20. Creating a Twitter Application.mp4 63.3 MB
12. Java programming for Data Scientists/17. Nested Classes - Inner Class.mp4 61.7 MB
12. Java programming for Data Scientists/38. Java Object Serialization - Transient variable.mp4 58.1 MB
14. Web Development for Data Scientists/27. Adding the CSS Pt.4.mp4 57.7 MB
5. Artificial Neural Networks [ Comprehensive Sessions]/2. Creating the First ANN from Scratch with Python.mp4 57.5 MB
14. Web Development for Data Scientists/18. JavaScript - Live IDE.mp4 57.4 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/10. GAN vs DCGAN difference.mp4 56.9 MB
7. Natural Language Processing for Data Scientists/11. Named Entity Recognition Lecture.mp4 54.7 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/12. Download the Source code.mp4 54.6 MB
14. Web Development for Data Scientists/4. Introduction to HTML (HTML Basics) Part 4.mp4 54.5 MB
5. Artificial Neural Networks [ Comprehensive Sessions]/3. Multiple Input Neuron.mp4 53.7 MB
12. Java programming for Data Scientists/37. Java Object Serialization Serialization - Read an object from file.mp4 53.5 MB
14. Web Development for Data Scientists/2. Introduction to HTML (HTML Basics) Part 2.mp4 52.9 MB
14. Web Development for Data Scientists/26. Adding the CSS Pt.3.mp4 52.9 MB
12. Java programming for Data Scientists/46. TryAndFinally Demo.mp4 52.6 MB
12. Java programming for Data Scientists/26. Synchronization Part 2 [Synchronized Block].mp4 52.4 MB
12. Java programming for Data Scientists/36. Java Object Serialization - Write an object to a file.mp4 52.2 MB
14. Web Development for Data Scientists/10. CSS- Selectors Pt.2.mp4 50.7 MB
14. Web Development for Data Scientists/22. JavaScript - Operators.mp4 50.4 MB
12. Java programming for Data Scientists/51. Vector [Lecture & Demo].mp4 50.0 MB
12. Java programming for Data Scientists/33. Character Streams Demo.mp4 47.9 MB
12. Java programming for Data Scientists/56. String reverse example using recursion.mp4 47.7 MB
1. Setting up the Environment for Python Machine Learning/2. Downloading and Setting up Python and PyCharm IDE.mp4 47.5 MB
14. Web Development for Data Scientists/11. CSS - Colours.mp4 47.4 MB
12. Java programming for Data Scientists/11. Encapsulation.mp4 43.7 MB
4. Data Visualization with Python/2. Data Visualization with Python Histogram , Pie Chart, etc...mp4 43.6 MB
12. Java programming for Data Scientists/31. Byte Streams Demo.mp4 43.3 MB
14. Web Development for Data Scientists/8. CSS - Video 3.mp4 42.6 MB
12. Java programming for Data Scientists/47. Introduction to Generics.mp4 42.0 MB
14. Web Development for Data Scientists/6. CSS - Introduction.mp4 41.7 MB
12. Java programming for Data Scientists/43. Exception Handling - Termination Demo.mp4 41.6 MB
12. Java programming for Data Scientists/55. Find the GCD (Greatest Common Devisor).mp4 40.1 MB
12. Java programming for Data Scientists/22. Creating Threads [Using Runnable Interface].mp4 39.7 MB
12. Java programming for Data Scientists/35. Listing Directories.mp4 39.6 MB
14. Web Development for Data Scientists/12. CSS - Backgroud Colour.mp4 39.6 MB
7. Natural Language Processing for Data Scientists/13. Classification Lecture.mp4 38.1 MB
7. Natural Language Processing for Data Scientists/16. Classification Tutorial Part 3 Naive Bayes.mp4 37.4 MB
7. Natural Language Processing for Data Scientists/2. Setting up the Environment for NLP - ACH.mp4 37.4 MB
12. Java programming for Data Scientists/14. Inheritance - instanceof Demo.mp4 36.2 MB
7. Natural Language Processing for Data Scientists/7. Normalization Tutorial.mp4 36.2 MB
14. Web Development for Data Scientists/16. Javascript - Introduction.mp4 35.8 MB
14. Web Development for Data Scientists/9. CSS- Selectors Pt.1.mp4 34.8 MB
2. Python Basics For Machine Learning/8. Software Design - Flowcharts - Sequence.mp4 34.3 MB
14. Web Development for Data Scientists/7. CSS - Video 2.mp4 33.5 MB
7. Natural Language Processing for Data Scientists/3. Introduction to Tokenization.mp4 32.7 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/2. Import TensorFlow and other libraries.mp4 32.7 MB
7. Natural Language Processing for Data Scientists/6. Introduction to Normalization.mp4 32.5 MB
7. Natural Language Processing for Data Scientists/4. Downloading and Setting up NLTK.mp4 31.5 MB
12. Java programming for Data Scientists/21. Creating Threads [Extending the Thread Class].mp4 31.1 MB
12. Java programming for Data Scientists/8. Method Overloading.mp4 30.8 MB
12. Java programming for Data Scientists/50. ArrayList Demonstration.mp4 27.9 MB
12. Java programming for Data Scientists/40. Java Garbage Collection Part 2.mp4 27.6 MB
2. Python Basics For Machine Learning/2. Python For Absolute Beginners - Variables - Part 2.mp4 27.4 MB
7. Natural Language Processing for Data Scientists/27. Python For Beginners Variables Part 2.mp4 27.4 MB
12. Java programming for Data Scientists/74. Java 9 Interfaces - What's New.mp4 27.1 MB
12. Java programming for Data Scientists/24. Pausing the execution of a thread.mp4 26.8 MB
2. Python Basics For Machine Learning/1. Python For Absolute Beginners - Variables - Part 1.mp4 26.8 MB
7. Natural Language Processing for Data Scientists/26. Python For Beginners Variables Part 1.mp4 26.7 MB
7. Natural Language Processing for Data Scientists/12. Named Entity Recognition Tutorial.mp4 25.7 MB
12. Java programming for Data Scientists/5. Creating Objects from Classes.mp4 25.5 MB
2. Python Basics For Machine Learning/7. Software Design - Problem Solving.mp4 25.0 MB
7. Natural Language Processing for Data Scientists/5. Tokenization Tutorial.mp4 24.2 MB
2. Python Basics For Machine Learning/9. Software Design - Repetition.mp4 24.0 MB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/13. Output.mp4 23.8 MB
12. Java programming for Data Scientists/48. Arrays Part 1.mp4 23.7 MB
7. Natural Language Processing for Data Scientists/30. Python For Beginners - Lists Part 2.mp4 22.6 MB
12. Java programming for Data Scientists/34. Creating Directories.mp4 22.4 MB
2. Python Basics For Machine Learning/5. Python For Absolute Beginners - Lists Part 2.mp4 22.3 MB
14. Web Development for Data Scientists/13. CSS - Padding.mp4 21.6 MB
7. Natural Language Processing for Data Scientists/17. Classification Homework Exercise.mp4 20.9 MB
12. Java programming for Data Scientists/49. Arrays Part 2 -Insert search delete (unordered array).mp4 20.2 MB
2. Python Basics For Machine Learning/3. Python For Absolute Beginners - Variables - Part 3.mp4 19.5 MB
7. Natural Language Processing for Data Scientists/28. Python For Beginners Variables Part 3.mp4 19.5 MB
7. Natural Language Processing for Data Scientists/29. Python For Beginners - Lists.mp4 18.4 MB
2. Python Basics For Machine Learning/4. Python For Absolute Beginners - Lists.mp4 18.2 MB
12. Java programming for Data Scientists/39. Java Garbage Collection Part 1.mp4 18.1 MB
12. Java programming for Data Scientists/16. Abstract Classes.mp4 17.9 MB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/data/mnist-demo.csv 17.4 MB
12. Java programming for Data Scientists/28. Download Eclipse.mp4 17.3 MB
2. Python Basics For Machine Learning/6. Python For Absolute Beginners - Lists Part 3.mp4 17.2 MB
7. Natural Language Processing for Data Scientists/31. Python For Beginners - Lists Part 3.mp4 17.1 MB
12. Java programming for Data Scientists/30. Byte Streams.mp4 13.6 MB
12. Java programming for Data Scientists/6. Constructors.mp4 13.4 MB
12. Java programming for Data Scientists/54. Splitting the string using the split() method.mp4 13.1 MB
12. Java programming for Data Scientists/4. Classes & Objects.mp4 12.0 MB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/data/fashion-mnist-demo.csv 10.6 MB
12. Java programming for Data Scientists/12. Inheritance.mp4 10.4 MB
12. Java programming for Data Scientists/10. Data Abstraction.mp4 10.1 MB
12. Java programming for Data Scientists/53. Find factorial of a number using recursion.mp4 9.8 MB
12. Java programming for Data Scientists/2. JDK,JRE ,JVM, Platform & Classloader.mp4 9.5 MB
14. Web Development for Data Scientists/19. JavaScript - Arithmetic Operators.mp4 9.2 MB
8. Linear regression/1. Linear regression.mp4 8.7 MB
12. Java programming for Data Scientists/29. IO Streams [Introduction].mp4 8.2 MB
12. Java programming for Data Scientists/7. Methods (parameter vs arguement).mp4 6.6 MB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/linear_regression/multivariate_linear_regression_demo.ipynb 5.8 MB
12. Java programming for Data Scientists/1. Major Java Features.mp4 5.3 MB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/neural_network/multilayer_perceptron_fashion_demo.ipynb 369.9 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/logistic_regression/multivariate_logistic_regression_fashion_demo.ipynb 335.3 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/binder-button-place.png 325.3 KB
Excersice files/19.1 LabExercise2with+Solution/LabExercise2with Solution/LabE2.docx 237.7 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/neural_network/multilayer_perceptron_demo.ipynb 227.7 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb 196.4 KB
Excersice files/18.1 LabExercise1with+Solution/LabExercise1with Solution/LabExercise1.docx 165.4 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/machine-learning-map.png 153.1 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/linear_regression/univariate_linear_regression_demo.ipynb 118.7 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/backpropagation.svg 115.9 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/anomaly_detection/anomaly_detection_gaussian_demo.ipynb 111.4 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/logistic_regression/logistic_regression_with_linear_boundary_demo.ipynb 82.6 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/logistic_regression/logistic_regression_with_non_linear_boundary_demo.ipynb 75.4 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/linear_regression/non_linear_regression_demo.ipynb 72.3 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/notebooks/k_means/k_means_demo.ipynb 70.9 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/k_means/k-means-algorithm.svg 63.4 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/forward-propagation-example.svg 52.3 KB
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Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/multi-class-network.drawio.svg 32.1 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/anomaly_detection/p-x.svg 31.7 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/data/world-happiness-report-2017.csv 28.7 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/cost-function-3.svg 28.5 KB
Excersice files/11.1 source/source/dcgan (1).ipynb 27.5 KB
8. Linear regression/3. Univariate Linear Regression Demo [Hands-on] Part 2- Linear Regression.srt 26.7 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/h-Theta-example.svg 26.2 KB
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7. Natural Language Processing for Data Scientists/22. Preparing the Training Set.srt 20.5 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/training-set.svg 20.4 KB
14. Web Development for Data Scientists/1. Introduction to HTML (HTML Basics) Part 1.srt 20.3 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/neuron-network.drawio.svg 20.2 KB
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14. Web Development for Data Scientists/3. Introduction to HTML (HTML Basics) Part 3.srt 18.0 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/linear_regression/gradient-descent-2.svg 18.0 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/gradient-descent-2.svg 18.0 KB
8. Linear regression/4. Multivariate Linear Regression Demo [Hands-on] Linear Regression.srt 17.8 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/z-3.svg 17.7 KB
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7. Natural Language Processing for Data Scientists/23. Preprocessing.srt 16.1 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/z-matrix.svg 15.8 KB
14. Web Development for Data Scientists/21. JavaScript - Variables.srt 15.7 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/anomaly_detection/f1.svg 15.5 KB
7. Natural Language Processing for Data Scientists/20. Creating a Twitter Application.srt 15.3 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/linear_regression/overfitting-1.svg 15.2 KB
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7. Natural Language Processing for Data Scientists/14. Classification Tutorial Part 1 Preprocessing movie reviews.srt 15.0 KB
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Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/k_means/cluster-example.svg 14.6 KB
12. Java programming for Data Scientists/15. Static.srt 14.6 KB
14. Web Development for Data Scientists/15. CSS- bg & animations.srt 14.5 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/linear_regression/hypothesis.svg 14.4 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/homemade/neural_network/multilayer_perceptron.py 14.3 KB
12. Java programming for Data Scientists/73. Java 9 - New Features [Guest Lecture].srt 14.2 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/logistic_regression/cost-function-2.svg 13.9 KB
14. Web Development for Data Scientists/20. JavaScript - Strings and JavaScript Methods.srt 13.9 KB
14. Web Development for Data Scientists/2. Introduction to HTML (HTML Basics) Part 2.srt 13.4 KB
12. Java programming for Data Scientists/3. Entering the Object oriented programming world - Classes & Objects.srt 13.4 KB
7. Natural Language Processing for Data Scientists/24. Classification.srt 13.2 KB
7. Natural Language Processing for Data Scientists/15. Classification Tutorial Part 2 Feature Sets.srt 13.1 KB
14. Web Development for Data Scientists/17. JavaScript - Setup.srt 12.9 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/h-pedestrian.svg 12.9 KB
6. Naive Bayes Classifier with Python [Lecture & Demo]/1. Lecture & Demo Naive bayes classifier.srt 12.8 KB
2. Python Basics For Machine Learning/10. Flowcharts Questions and Answers # Problem Solving.srt 12.7 KB
5. Artificial Neural Networks [ Comprehensive Sessions]/2. Creating the First ANN from Scratch with Python.srt 12.7 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/anomaly_detection/p.svg 12.6 KB
7. Natural Language Processing for Data Scientists/8. Introduction to Part of Speech Tagging.srt 12.6 KB
7. Natural Language Processing for Data Scientists/9. Part of Speech Tagging Tutorial.srt 12.6 KB
13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/5. Create the models - The Discriminator.srt 12.2 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/neural_network/h-motorcycle.svg 12.2 KB
8. Linear regression/2. Univariate Linear Regression Demo [Hands-on] Part 1- Linear Regression.srt 12.1 KB
14. Web Development for Data Scientists/23. Starting the project.srt 12.0 KB
14. Web Development for Data Scientists/5. HTML Tables - (HTML Basics) Part 5.srt 11.9 KB
7. Natural Language Processing for Data Scientists/3. Introduction to Tokenization.srt 11.8 KB
2. Python Basics For Machine Learning/8. Software Design - Flowcharts - Sequence.srt 11.7 KB
Excersice files/4.1 homemade-machine-learning-master/homemade-machine-learning-master/images/anomaly_detection/sigma-i.svg 11.4 KB
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13. Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN/4. Create the models - The Generator.srt 11.2 KB
3. Understanding Data With Statistics & Data Pre-processing/7. feature Selection Techniques Univariate Selection.srt 11.0 KB
5. Artificial Neural Networks [ Comprehensive Sessions]/1. Introduction to Artificial Neural Networks.srt 10.8 KB
7. Natural Language Processing for Data Scientists/11. Named Entity Recognition Lecture.srt 10.5 KB
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