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Udemy - Machine Learning Using Python Programming

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1 - Introduction to Machine Learning

10 - Support Vector Machines

11 - K Nearest Neighbors for Classification and Regression

12 - Decision Tree Classifier Algorithm

13 - Random Forest Classifier Algorithm

14 - Naive Bayes Algorithm

15 - Resources

Notebooks

16 - KMeans Clustering

2 - Types of Machine Learning

3 - The Machine Learning Pipeline

4 - Numpy Library

5 - Pandas Library

6 - Analysis of Datasets using Pandas and Matplotlib Library

7 - The Scikitlearn Library and Preprocessing Techniques

8 - Supervised Learning Linear Regression

9 - Logistic Regression for Classification Problems

41 - 38 The Sigmoid function in Logistic Regression.mp4

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Udemy - A Complete Guide on TensorFlow 2.0 using Keras API [Desire Course]

4. Preprocessing function.mp4

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5 years ago

Udemy - A Complete Guide on TensorFlow 2.0 using Keras API [Desire Course]

4. Preprocessing function.mp4

MP4

21.1 MB

1 matching file, 282 total files.

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Size: 5.1 GB
Files: 282
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282

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