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Python required for Data Science and Machine Learning 2020 [Free Online Course] - TechCracked

Python required for Data Science and Machine Learning 2020

Basic Python, Data Analysis & Insights Visualizations. Case Study. High level Machine Learning lib & tools walk through.

What you'll learn
  • Hands on skills in Data Insights Visualization
  • Collections - List, Set, Dictionaries, Tuples
  • Pandas DataFrames - Intruduction and Operations and more
  • Matrix Operations
  • Multidimensional Arrays
  • Case Study to visualize meaningful insights
  • High level walk through of Machine Learning tools
  • Visual plots such as line, bar, scatter, histogram etc.
  • Seaborn for basic visualizations to retrieve meaningful insights
  • Matplotlib for basic visualizations to retrieve meaningful insights
  • Installing anaconda and Launching jupyter
  • Fundamentals of programming such as Decision Controls, Loops, Operators, Data types etc.
  • Creating Identifiers, Operators
  • and more !


This course includes:
  • 3 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion


Description

Lets learn basics to transform your career.

I promise not to exhaust you with huge number of videos.

Welcome to the most comprehensive Python required for Data Science and Machine Learningcourse! An excellent choice for beginners and professionals looking to up skill themselves in the domain of Machine Learning and Data Science. This course of First Step or prerequisite to learn Machine Learning or Data Science.  This course covers most popular Python libraries in the worldsuch as collections, numerical pyhton, matplotlib, seaborn and pandas data frames. This course includes case study for drawing meaningful insights out of given business data.

Course also covers most fundamentals of programming such as Decision Controls, Loops, Operators, Data types and more !


Going forward, every software development would be AI or Data Driven and students or professional needs to have respective skills to adapt themselves in the changing industry. Since Machine Learning and Data Science are hot in today's market and students or professionals needs to re-skill or up-skill themselves to AI or Machine Learning or Data Science to survive in today's market.

Also See : Python for Everybody: Five Domain Specialization

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