[GigaCourse Com] Udemy - [2022] Machine Learning and Deep Learning Bootcamp in Python
File List
| File | Size |
|---|---|
| 0. Websites you may like/[CourseClub.Me].url | 122 B |
| 0. Websites you may like/[FreeAllCourse.Com].url | 55 B |
| 0. Websites you may like/[GigaCourse.Com].url | 49 B |
| 01 - Introduction/001 Introduction.mp4 | 25.85 MB |
| 01 - Introduction/001 Introduction_en.srt | 5.09 KB |
| 02 - Environment Setup/001 Installing PyCharm and Python on Windows.html | 1.54 KB |
| 02 - Environment Setup/002 Installing PyCharm and Python on Mac.html | 1.55 KB |
| 02 - Environment Setup/003 Installing TensorFlow and Keras.mp4 | 9.7 MB |
| 02 - Environment Setup/003 Installing TensorFlow and Keras_en.srt | 2.84 KB |
| 02 - Environment Setup/[CourseClub.Me].url | 122 B |
| 02 - Environment Setup/[FreeAllCourse.Com].url | 55 B |
| 02 - Environment Setup/[GigaCourse.Com].url | 49 B |
| 03 - Artificial Intelligence Basics/001 Why to learn artificial intelligence and machine learning.mp4 | 14.01 MB |
| 03 - Artificial Intelligence Basics/001 Why to learn artificial intelligence and machine learning_en.srt | 7.69 KB |
| 03 - Artificial Intelligence Basics/002 Types of artificial intelligence learning.mp4 | 36.97 MB |
| 03 - Artificial Intelligence Basics/002 Types of artificial intelligence learning_en.srt | 11.73 KB |
| 03 - Artificial Intelligence Basics/003 Fundamentals of statistics.mp4 | 33.22 MB |
| 03 - Artificial Intelligence Basics/003 Fundamentals of statistics_en.srt | 10.33 KB |
| 04 - ### MACHINE LEARNING ###/001 Machine learning section.html | 471 B |
| 05 - Linear Regression/001 What is linear regression.mp4 | 39.99 MB |
| 05 - Linear Regression/001 What is linear regression_en.srt | 12.34 KB |
| 05 - Linear Regression/002 Linear regression theory - optimization.mp4 | 45.04 MB |
| 05 - Linear Regression/002 Linear regression theory - optimization_en.srt | 11.32 KB |
| 05 - Linear Regression/003 Linear regression theory - gradient descent.mp4 | 39.45 MB |
| 05 - Linear Regression/003 Linear regression theory - gradient descent_en.srt | 10.71 KB |
| 05 - Linear Regression/004 Linear regression implementation I.mp4 | 90.81 MB |
| 05 - Linear Regression/004 Linear regression implementation I_en.srt | 18.37 KB |
| 05 - Linear Regression/005 Linear regression implementation II.mp4 | 12.2 MB |
| 05 - Linear Regression/005 Linear regression implementation II_en.srt | 5.63 KB |
| 05 - Linear Regression/006 Mathematical formulation of linear regression.html | 275 B |
| 06 - Logistic Regression/001 What is logistic regression.mp4 | 40.2 MB |
| 06 - Logistic Regression/001 What is logistic regression_en.srt | 16.15 KB |
| 06 - Logistic Regression/002 Logistic regression and maximum likelihood estimation.mp4 | 22.68 MB |
| 06 - Logistic Regression/002 Logistic regression and maximum likelihood estimation_en.srt | 6.68 KB |
| 06 - Logistic Regression/003 Logistic regression example I - sigmoid function.mp4 | 33.18 MB |
| 06 - Logistic Regression/003 Logistic regression example I - sigmoid function_en.srt | 14.73 KB |
| 06 - Logistic Regression/004 Logistic regression example II- credit scoring.mp4 | 58.55 MB |
| 06 - Logistic Regression/004 Logistic regression example II- credit scoring_en.srt | 14.25 KB |
| 06 - Logistic Regression/005 Logistic regression example III - credit scoring.mp4 | 33.52 MB |
| 06 - Logistic Regression/005 Logistic regression example III - credit scoring_en.srt | 7.08 KB |
| 06 - Logistic Regression/006 Mathematical formulation of logistic regression.html | 263 B |
| 07 - Cross Validation/001 What is cross validation.mp4 | 24.41 MB |
| 07 - Cross Validation/001 What is cross validation_en.srt | 7.9 KB |
| 07 - Cross Validation/002 Cross validation example.mp4 | 25.13 MB |
| 07 - Cross Validation/002 Cross validation example_en.srt | 6.96 KB |
| 08 - K-Nearest Neighbor Classifier/001 What is the k-nearest neighbor classifier.mp4 | 13.69 MB |
| 08 - K-Nearest Neighbor Classifier/001 What is the k-nearest neighbor classifier_en.srt | 7.9 KB |
| 08 - K-Nearest Neighbor Classifier/002 Concept of lazy learning.mp4 | 15.24 MB |
| 08 - K-Nearest Neighbor Classifier/002 Concept of lazy learning_en.srt | 5.11 KB |
| 08 - K-Nearest Neighbor Classifier/003 Distance metrics - Euclidean-distance.mp4 | 21.73 MB |
| 08 - K-Nearest Neighbor Classifier/003 Distance metrics - Euclidean-distance_en.srt | 9.3 KB |
| 08 - K-Nearest Neighbor Classifier/004 Bias and variance trade-off.mp4 | 14.7 MB |
| 08 - K-Nearest Neighbor Classifier/004 Bias and variance trade-off_en.srt | 5.16 KB |
| 08 - K-Nearest Neighbor Classifier/005 K-nearest neighbor implementation I.mp4 | 16.5 MB |
| 08 - K-Nearest Neighbor Classifier/005 K-nearest neighbor implementation I_en.srt | 9.08 KB |
| 08 - K-Nearest Neighbor Classifier/006 K-nearest neighbor implementation II.mp4 | 48.51 MB |
| 08 - K-Nearest Neighbor Classifier/006 K-nearest neighbor implementation II_en.srt | 11.17 KB |
| 08 - K-Nearest Neighbor Classifier/007 K-nearest neighbor implementation III.mp4 | 10.53 MB |
| 08 - K-Nearest Neighbor Classifier/007 K-nearest neighbor implementation III_en.srt | 5.4 KB |
| 08 - K-Nearest Neighbor Classifier/008 Mathematical formulation of k-nearest neighbor classifier.html | 276 B |
| 08 - K-Nearest Neighbor Classifier/[CourseClub.Me].url | 122 B |
| 08 - K-Nearest Neighbor Classifier/[FreeAllCourse.Com].url | 55 B |
| 08 - K-Nearest Neighbor Classifier/[GigaCourse.Com].url | 49 B |
| 09 - Naive Bayes Classifier/001 What is the naive Bayes classifier.mp4 | 42.38 MB |
| 09 - Naive Bayes Classifier/001 What is the naive Bayes classifier_en.srt | 14.13 KB |
| 09 - Naive Bayes Classifier/002 Naive Bayes classifier illustration.mp4 | 9.23 MB |
| 09 - Naive Bayes Classifier/002 Naive Bayes classifier illustration_en.srt | 6.24 KB |
| 09 - Naive Bayes Classifier/003 Naive Bayes classifier implementation.mp4 | 11.08 MB |
| 09 - Naive Bayes Classifier/003 Naive Bayes classifier implementation_en.srt | 5.2 KB |
| 09 - Naive Bayes Classifier/004 What is text clustering.mp4 | 38.5 MB |
| 09 - Naive Bayes Classifier/004 What is text clustering_en.srt | 10.94 KB |
| 09 - Naive Bayes Classifier/005 Text clustering - inverse document frequency (TF-IDF).mp4 | 14.61 MB |
| 09 - Naive Bayes Classifier/005 Text clustering - inverse document frequency (TF-IDF)_en.srt | 6.4 KB |
| 09 - Naive Bayes Classifier/006 Naive Bayes example - clustering news.mp4 | 78.91 MB |
| 09 - Naive Bayes Classifier/006 Naive Bayes example - clustering news_en.srt | 18.49 KB |
| 09 - Naive Bayes Classifier/007 Mathematical formulation of naive Bayes classifier.html | 246 B |
| 10 - Support Vector Machines (SVMs)/001 What are Support Vector Machines (SVMs).mp4 | 20.14 MB |
| 10 - Support Vector Machines (SVMs)/001 What are Support Vector Machines (SVMs)_en.srt | 7.45 KB |
| 10 - Support Vector Machines (SVMs)/002 Linearly separable problems.mp4 | 30.33 MB |
| 10 - Support Vector Machines (SVMs)/002 Linearly separable problems_en.srt | 18.4 KB |
| 10 - Support Vector Machines (SVMs)/003 Non-linearly separable problems.mp4 | 22.96 MB |
| 10 - Support Vector Machines (SVMs)/003 Non-linearly separable problems_en.srt | 9.22 KB |
| 10 - Support Vector Machines (SVMs)/004 Kernel functions.mp4 | 34.1 MB |
| 10 - Support Vector Machines (SVMs)/004 Kernel functions_en.srt | 13.04 KB |
| 10 - Support Vector Machines (SVMs)/005 Support vector machine example I - simple.mp4 | 36.79 MB |
| 10 - Support Vector Machines (SVMs)/005 Support vector machine example I - simple_en.srt | 14.42 KB |
| 10 - Support Vector Machines (SVMs)/006 Support vector machine example II - iris dataset.mp4 | 15.1 MB |
| 10 - Support Vector Machines (SVMs)/006 Support vector machine example II - iris dataset_en.srt | 8.49 KB |
| 10 - Support Vector Machines (SVMs)/007 Support vector machines example III - parameter tuning.mp4 | 17.83 MB |
| 10 - Support Vector Machines (SVMs)/007 Support vector machines example III - parameter tuning_en.srt | 9.53 KB |
| 10 - Support Vector Machines (SVMs)/008 Support vector machine example IV - digit recognition.mp4 | 22.1 MB |
| 10 - Support Vector Machines (SVMs)/008 Support vector machine example IV - digit recognition_en.srt | 12.4 KB |
| 10 - Support Vector Machines (SVMs)/009 Support vector machine example V - digit recognition.mp4 | 14.49 MB |
| 10 - Support Vector Machines (SVMs)/009 Support vector machine example V - digit recognition_en.srt | 7.14 KB |
| 10 - Support Vector Machines (SVMs)/010 Advantages and disadvantages.mp4 | 6 MB |
| 10 - Support Vector Machines (SVMs)/010 Advantages and disadvantages_en.srt | 3.72 KB |
| 10 - Support Vector Machines (SVMs)/011 Mathematical formulation of Support Vector Machines (SVMs).html | 419 B |
| 11 - Decision Trees/001 Decision trees introduction - basics.mp4 | 27.41 MB |
| 11 - Decision Trees/001 Decision trees introduction - basics_en.srt | 10.36 KB |
| 11 - Decision Trees/002 Decision trees introduction - entropy.mp4 | 40.84 MB |
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