Getting Started With Machine Learning And Python (Online)

This Master Class will be delivered by Damian Widera

Friendly Title Getting Started With Machine Learning And Python
Class Title Getting Started With Machine Learning And Python
Trainer Damian Widera (Poland)
Brochure Coming Soon
Delivery Type Online
Delivery Format
  • Total 8 hours
  • Two consecutive days
  • 5 hours each day with one-hour break in between
  • Date Coming Soon
    Time Coming Soon

    Price Coming Soon

      * Conversion rate of INR 70 per USD has been taken into consideration
      * For Indian Credit Cards, 18% GST will be charged extra
      * Group discounts available
    Level Intermediate
    Pre-requisites This workshop is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
    You should have a knowledge of math on a high school level to understand the algorithms that I am going to present.

    Key Highlights
  • Machine Learning
  • Data Science
  • SQL Server
  • Python
  • Knowledge
  • Takeaways
  • what are the steps in the machine learning process
  • how to prepare a data set before the analysis is started
  • how to perform a data analysis process using Python and various machine learning algorithms
  • how to choose a proper machine learning algorithm for each type of problem
  • how to score (evaluate) your model
  • Course Outline
  • Introduction to Machine Learning
  • Tools for Machine Learning
  • Data cleansing
  • Spam detection as an example of Naive Bayes
  • News topic as an example of classification
  • Tree based algorithms
  • Stock price prediction as an example of regression
  • Medical aspects – diabetes prediction, breast cancer detection
    • use ~3 to 5 algorithms
  • more advanced topics – neural networks – image recognition
  • Best practices
  • Demos
  • Installations – tools
  • Data cleansing
  • Spam detection / Naive Bayes
  • News topic/classification
  • Tree based algorithms
  • Logistic regression – stock price prediction
  • Medical aspects – diabetes prediction, breast cancer detection
    • use ~3 to 5 algorithms
  • more advanced topics – if time permits (neural networks – image recognition)
  • Trainer’s Bio Peter Myers
    Damian Widera is a software engineer with 18+ years of professional experience in all aspects of software development.
     
    Damian participated in a number of projects in international environments and having a very practical knowledge of procedures and tools which are necessary for successful implementation of such projects.
     
    Now he focuses on building solutions based on Microsoft Data Platform environment (including complex database driven systems, database tuning and optimization).
     
    Damian is experienced Microsoft speaker and columnist, currently holds MVP title as Data Platform guru. Damian is responsible now for creating and maintaining SQL Server Community in Silesia Region. Damian holds Microsoft Certified Trainer certificate from 2004. Describes himself as an energetic actor.

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