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Practical Machine Learning with Python

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Course ID:

44160

Time:

Daily seminar
9:00-16:30
Python is a great programming language for data analysis and machine learning. With its packages and tools , writing a machine learning process with python is a very simple task.In this seminar we will cover the important packages and tools and see some practical examples how we can use it to solve machine learning problemsThe participants should have some knowledge with python languageTopics:OverviewImportant packages
  • Numpy
  • Matplotlib and seaborn
  • Scipy and Scikits
  • Pandas
Why LearnApplicationsMachine Learning ProcessLearning Types:
  • Supervised Learning
  • Unsupervised Learning
  • Semi-Supervised Learning
  • Active Learning
  • Reinforcement learning
Batch vs Online LearningInstance vs model based learingVariables and featuresDeep Learning overviewClassificationRegressionsTypes of DataData preparation and cleaningData visualizationMissing valuesScikit LearnLinear RegressionLogistic RegressionSupport vector machinesDecision trees and random forestsNaïve BayesKNNNLPMore ML AlgorithmsOther tools and libraries 


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