BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Python for Data Science and Machine Learning (EN) 2022
DTSTART:20220427T083000
DTEND:20220429T170000
DTSTAMP:20260406T171735Z
UID:d881404f4737ad25561f955f69028e2bf10fac24a71c0c4f4f98c203
CATEGORIES:Internal trainings
DESCRIPTION:Jean-Philippe Forestier\n\nDuring this course you will learn h
 ow to use (hands-on experience) various standard libraries in the Python e
 cosystem such as Pandas\, NumPy\, Matplotlib\, Scikit-Learn\, Seaborn\, 
 … to tackle different stages of a Data Science project.\n\nThis course f
 ollows a pragmatic approach: it is organized into several simple but reali
 stic examples and exercises that demonstrate how to use the Data Science-r
 elated Python modules and tools.\n\nWhat you will learn\n\n\n	see how Pyth
 on helps to analyze large and unstructured data with different tools and m
 odules\n	learn different ways to extract data\, arrange the data in struct
 ured form\, analyze the data\, and represent the data in a graphical forma
 t\n	learn the basics of Machine Learning (supervised and unsupervised appr
 oach) and how to use its essential algorithms (Regression\, Classification
  and Clustering)\n\n\n \n\n\n	Tooling: Anaconda\, Jupyter Notebook\n	Data
  extraction: from XML file (lxml)\, from CSV file parsing (csv\, pandas)\,
  from Excel file (openpyxl)\, from Text file (re)\,\n	Web Scraping : Beaut
 ifulSoap\, Scrapy\n	Data munging and wrangling with Pandas\n	Data visualiz
 ation : Matplotlib\, Bokeh\, seaborn\, altair\, plotly dash\n	Machine Lear
 ning (regression\, decision trees\, random forest\, …) : Scikit-Learn\, 
 statsmodels\, numpy\, scipy\n	Overview of how Python help when you need to
  work with large datasets (Big Data) using Hadoop and Spark (PyDoop and Py
 Spark modules)\n\n\n\nTargeted audience\nThis fast-paced class is intended
  for aspiring (or practicing) data scientists and data analysts interested
  in using Python for their day-to-day work.\n\nPre-requesites:\nParticipan
 ts must be already familiar with the Python syntax and with the main Data 
 Science concepts.\n
LOCATION:https://us06web.zoom.us/j/81016229095
STATUS:CONFIRMED
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