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Udemy - Machine Learning using Python

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leechers: 3
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Added 8 years ago by Fclab in Other
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Udemy - Machine Learning using Python (Size: 1.6 GB)
  1. Decision Tree Classifier.mp4 65 MB
  1. Evaluation Metrics.mp4 60.3 MB
  1. Handling Missing Values in Python.mp4 63.6 MB
  1. Installation of Python.mp4 68.6 MB
  1. Introduction Machine Learning Using Python.mp4 48.7 MB
  1. Linear Regression in ML.mp4 82.9 MB
  2. Example of Evaluation Metrics.mp4 97.8 MB
  2. Example of Machine Learning Using Python.mp4 70.2 MB
  2. Handling Missing Values in Python Continues.mp4 72.3 MB
  2. Linear Regression Example.mp4 64.7 MB
  2. Random Forest Classification.mp4 56.3 MB
  3. Confusion Matix in Evaluation Metrics.mp4 55.6 MB
  3. Example of Machine Learning Using Python Continues.mp4 34.5 MB
  3. Exception Handling in Python.mp4 56.4 MB
  3. K Mean Clustering.mp4 67.2 MB
  3. Linear Regression Example Continues.mp4 79.7 MB
  4. Apriori Python Package.mp4 74.5 MB
  4. Classification Reports in Evaluation Metrics.mp4 116.8 MB
  4. More on Exception Handling in Python.mp4 58.7 MB
  4. Support Vector Algorithm in ML.mp4 81.5 MB
  5. Apriori Python Package Continues.mp4 74.5 MB
  5. Example of MAE, MSE and Variance using Evaluation Metrics.mp4 74.9 MB
  6. Sea Born Example using Evaluation Metrics.mp4 63.5 MB
  7. Scatter Matrix using Evaluation Metrics.mp4 33.8 MB
  [FreeCourseLab.com].url 102.4 B
  ▲ 25 total files

Description


Udemy - Machine Learning using Python
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.

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