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VERSION:2.0
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SUMMARY:Python for Data Science and Machine Learning
DTSTART:20261116T083000
DTEND:20261120T170000
DTSTAMP:20260502T093742Z
UID:a4650359438f0829b6d8d75089243e15e50ad4de5ece04c56b93a9dd
CATEGORIES:Internal trainings
DESCRIPTION:Jean-Philippe Forestier\nDuring this course\, you will learn h
 ow to unlock the potential of Python for data analysis\, visualization\, a
 nd machine learning.\n\nThe course covers trainings models with scikit-lea
 rn\, best practices for transforming your data with Pandas\, creating plot
 s and graphs with Matplotlib and Seaborn\, cleaning and preparing your dat
 a with Pandas\, Scipy and Scikit-learn\, construct a neural network with K
 eras and Tensorflow\, …\n\nBy the end of this course\, you will be able 
 to use Python to create Machine Learning solutions and you will understand
  how to evaluate and improve the performance of the solutions you create.\
 n\nThe course will also introduce the fundamentals of neural networks and 
 how to build deep learning models using TensorFlow\, Keras or Pytorch.\n\n
 Duration: 3 days
LOCATION:
STATUS:CONFIRMED
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