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[FreeCourseSite.com] Udemy - Complete Generative AI Course With Langchain and Huggingface |
6/0 |
33.7 GB |
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/13 - ANN Project Implementation/002 Feature Transformation Using Sklearn With ANN.mp4 |
190.2 MB |
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/13 - ANN Project Implementation/002 Feature Transformation Using Sklearn With ANN_en.srt |
38.0 KB |
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[FreeTutorials.Us] Udemy - Projects in Machine Learning Beginner To Professional |
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4.6 GB |
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/12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 |
214.2 MB |
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/12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt |
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Super Formação inteligência Artificial com Python e R - Udemy |
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11.0 GB |
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/Seção 9 Redes Neurais e Deep Learning/117. Python Exemplo com sklearn.mp4 |
84.9 MB |
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78.3 MB |
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38.5 MB |
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/~Get Your Files Here !/1 - Machine Learning With Python 2023/22 - Evaluation Metrics in Sklearn.mp4 |
18.7 MB |
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65.3 MB |
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333.6 KB |
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94.4 MB |
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15.0 MB |
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[CourseClub.Me] Coursera – Machine Learning Specialization (Andrew Ng) |
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1.7 GB |
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/30. Implement a Logistic Regression Model with PyTorch/2. Review Sklearn Titanic Classification.mp4 |
38.3 MB |
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[CourserHub.com] Coursera - Machine Learning Algorithms in the Real World Specialization |
3/0 |
3.0 GB |
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81.6 KB |
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50.3 KB |
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[Tutorialsplanet.NET] Udemy - Machine Learning, Deep Learning and Bayesian Learning |
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5.9 GB |
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15.0 MB |
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94.4 MB |
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14.8 KB |
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GetFreeCourses.Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT |
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20.6 GB |
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/16 - Day 11 Simple Linear Regression in Scikit-Learn/002 Simple-Linear-Regression-in-SKLearn.zip |
3.9 MB |
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/21 - Day 16 XG-Boost Regression in Scikit-Learn/002 XGboost-in-SKLearn.zip |
11.1 MB |
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3.7 MB |
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26.1 MB |
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[FreeTutorials.Us] Udemy - Feature Engineering for Machine Learning |
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4.0 GB |
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/4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.mp4 |
84.3 MB |
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/~Get Your Files Here !/01 - Introduction/003 Introduction to sklearn.mp4 |
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[ WebToolTip.com ] Mastering Machine Learning Algorithms (2025) |
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19.1 MB |
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/~Get Your Files Here !/4 - Decision Trees/7 - Implementation of CART using SKLearn Library.html |
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