Udemy - Machine Learning using Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.6 GB
  • Uploaded ByFclab
  • Downloads156
  • Last checkedOct. 17th '18
  • Date uploadedOct. 16th '18
  • Seeders 3
  • Leechers0

Infohash : A476F19CF822CAB40EB122E7F526851851DE786C

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.

Files:

[FreeCourseLab.com] Udemy - Machine Learning using Python 1. Introduction
  • 1. Introduction Machine Learning Using Python.mp4 (48.7 MB)
2. Usage of Machine Learning Packages in Python
  • 1. Installation of Python.mp4 (68.6 MB)
  • 2. Example of Machine Learning Using Python.mp4 (70.2 MB)
  • 3. Example of Machine Learning Using Python Continues.mp4 (34.5 MB)
3. Linear Regression
  • 1. Linear Regression in ML.mp4 (82.9 MB)
  • 2. Linear Regression Example.mp4 (64.7 MB)
  • 3. Linear Regression Example Continues.mp4 (79.7 MB)
  • 4. Support Vector Algorithm in ML.mp4 (81.5 MB)
4. Classifier and Python Package
  • 1. Decision Tree Classifier.mp4 (65.0 MB)
  • 2. Random Forest Classification.mp4 (56.3 MB)
  • 3. K Mean Clustering.mp4 (67.2 MB)
  • 4. Apriori Python Package.mp4 (74.5 MB)
  • 5. Apriori Python Package Continues.mp4 (74.5 MB)
5. Evaluation Metrics
  • 1. Evaluation Metrics.mp4 (60.3 MB)
  • 2. Example of Evaluation Metrics.mp4 (97.8 MB)
  • 3. Confusion Matix in Evaluation Metrics.mp4 (55.6 MB)
  • 4. Classification Reports in Evaluation Metrics.mp4 (116.8 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)
6. Missing Value
  • 1. Handling Missing Values in Python.mp4 (63.6 MB)
  • 2. Handling Missing Values in Python Continues.mp4 (72.3 MB)
  • 3. Exception Handling in Python.mp4 (56.4 MB)
  • 4. More on Exception Handling in Python.mp4 (58.7 MB)
  • [FreeCourseLab.com].url (0.1 KB)

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