- 【影视】 [FreeCourseLab.me] Udemy - Data Science Supervised Machine Learning in Python
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- 9. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
- 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
- 9. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 2. K-Nearest Neighbor/6. KNN for the Donut Problem.srt 74.6 MB
- 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
- 9. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.1 MB
- 2. K-Nearest Neighbor/7. Effect of K.srt 44.6 MB
- 9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
- 9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
- 9. Appendix FAQ/12. What order should I take your courses in (part 2).srt 39.5 MB
- 9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.5 MB
- 2. K-Nearest Neighbor/7. Effect of K.mp4 37.5 MB
- 2. K-Nearest Neighbor/3. KNN in Code with MNIST.srt 34.0 MB
- 4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
- 9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.7 MB
- 9. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
- 4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
- 2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
- 2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
- 2. K-Nearest Neighbor/8. KNN Exercise.mp4 17.7 MB
- 猜你喜欢: me Python Science Udemy Machine Supervised Learning FreeCourseLab Data
- 【影视】 [ CourseBoat.com ] Udemy - Complete Supervised Machine Learning With Python
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- ~Get Your Files Here !/8. Linear Regression With Python/5. Linear Regression With Python.mp4 149.7 MB
- ~Get Your Files Here !/9. Logistic Regression With Python/5. Logistic Regression With Python.mp4 110.0 MB
- ~Get Your Files Here !/14. Discriminant Analysis With A Case Study/1. Discriminant Analysis - Lecture 1.mp4 106.7 MB
- ~Get Your Files Here !/17. Deep Learning/2. Introduction To Artificial Neural Networks (ANNs).mp4 74.8 MB
- ~Get Your Files Here !/15. Support Vector Machines With Python/2. Support Vector Machines - Lecture 2.mp4 74.1 MB
- ~Get Your Files Here !/5. The NumPy Library/2. Working With Arrays Using NumPy Library.mp4 69.9 MB
- ~Get Your Files Here !/17. Deep Learning/5. ANN With Back Propagation.mp4 68.3 MB
- ~Get Your Files Here !/17. Deep Learning/4. Perceptron With Python.mp4 65.4 MB
- ~Get Your Files Here !/12. Naïve Bayes Classifier And KNN/1. Understanding Naïve Bayes Classifier.mp4 65.4 MB
- ~Get Your Files Here !/17. Deep Learning/1. Introduction To Deep Learning.mp4 65.1 MB
- ~Get Your Files Here !/17. Deep Learning/3. Architecture And Training Of ANN.mp4 64.7 MB
- ~Get Your Files Here !/17. Deep Learning/6. Back Propagation With Python.mp4 64.7 MB
- ~Get Your Files Here !/15. Support Vector Machines With Python/4. SVM With Python.mp4 63.2 MB
- ~Get Your Files Here !/14. Discriminant Analysis With A Case Study/2. Discriminant Analysis - Lecture 2.mp4 59.9 MB
- ~Get Your Files Here !/7. Data Visualization With Python/3. Data Analysis And Visualization.mp4 52.3 MB
- ~Get Your Files Here !/10. Complete Decision Tree With Python/7. Decision Tree Hands-on With Python - Lecture 2.mp4 51.2 MB
- ~Get Your Files Here !/15. Support Vector Machines With Python/3. Support Vector Machines - Lecture 3.mp4 50.9 MB
- ~Get Your Files Here !/13. Random Forest With Python/1. Ensemble Classifiers- Random Forest - Lecture 1.mp4 49.1 MB
- ~Get Your Files Here !/10. Complete Decision Tree With Python/1. Fundamentals Of Decision Tree - Lecture 1.mp4 48.8 MB
- ~Get Your Files Here !/13. Random Forest With Python/3. Random Forest Classifier In Python - Lecture 1.mp4 48.7 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Self-Supervised Learning [Includes SimCLR + Python Coding]
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- ~Get Your Files Here !/4. Self-Supervised Learning/7. SimCLR, An UnSupervised Contrastive Pretext Model.mp4 400.0 MB
- ~Get Your Files Here !/4. Self-Supervised Learning/3. Supervised Contrastive Pretext, Experiment 1.mp4 308.7 MB
- ~Get Your Files Here !/4. Self-Supervised Learning/1. Self-Supervised Learning.mp4 296.1 MB
- ~Get Your Files Here !/2. Supervised Models/1. Supervised Learning.mp4 274.7 MB
- ~Get Your Files Here !/4. Self-Supervised Learning/8. SimCLR Experiment.mp4 262.8 MB
- ~Get Your Files Here !/4. Self-Supervised Learning/5. Supervised Contrastive Pretext, Experiment 2.mp4 207.0 MB
- ~Get Your Files Here !/2. Supervised Models/3. Transfer Learning & Fine-Tuning.mp4 197.9 MB
- ~Get Your Files Here !/3. Labeling Task/1. Labeling Challenges.mp4 127.2 MB
- ~Get Your Files Here !/1. Introduction/3. Python Notebooks.mp4 74.8 MB
- ~Get Your Files Here !/1. Introduction/1. An Introduction to the Course.mp4 57.0 MB
- ~Get Your Files Here !/4. Self-Supervised Learning/7. SimCLR, An UnSupervised Contrastive Pretext Model.srt 54.4 kB
- ~Get Your Files Here !/4. Self-Supervised Learning/3. Supervised Contrastive Pretext, Experiment 1.srt 38.7 kB
- ~Get Your Files Here !/4. Self-Supervised Learning/1. Self-Supervised Learning.srt 37.2 kB
- ~Get Your Files Here !/4. Self-Supervised Learning/8. SimCLR Experiment.srt 32.2 kB
- ~Get Your Files Here !/2. Supervised Models/1. Supervised Learning.srt 31.7 kB
- ~Get Your Files Here !/2. Supervised Models/3. Transfer Learning & Fine-Tuning.srt 27.3 kB
- ~Get Your Files Here !/4. Self-Supervised Learning/5. Supervised Contrastive Pretext, Experiment 2.srt 26.4 kB
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- 6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
- 6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
- 1 - Introduction/1 - Introduction.mp4 73.3 MB
- 5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
- 3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
- 3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
- 6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
- 5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
- 6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
- 4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
- 5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
- 7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
- 5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
- 4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
- 6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
- 5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
- 4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
- 7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
- 4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
- 7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB
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- 6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
- 6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
- 1 - Introduction/1 - Introduction.mp4 73.3 MB
- 5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
- 3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
- 3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
- 6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
- 5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
- 6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
- 4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
- 5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
- 7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
- 5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
- 4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
- 6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
- 5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
- 4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
- 7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
- 4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
- 7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB
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- 【影视】 [FreeCourseSite.com] Udemy - The Supervised Machine Learning Course
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- 6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
- 6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
- 1 - Introduction/1 - Introduction.mp4 73.3 MB
- 5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
- 3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
- 3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
- 6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
- 5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
- 6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
- 4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
- 5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
- 7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
- 5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
- 4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
- 6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
- 5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
- 4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
- 7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
- 4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
- 7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB
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- 【影视】 Udemy - The Supervised Machine Learning Course
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- 6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
- 6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
- 1 - Introduction/1 - Introduction.mp4 73.3 MB
- 5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
- 3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
- 3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
- 6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
- 5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
- 6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
- 4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
- 5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
- 7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
- 5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
- 4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
- 6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
- 5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
- 4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
- 7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
- 4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
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