Machine Learning Bootcamp- Crash Course of Predictive Analysis (For Beginner)

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<H3><BR CLASS="Apple-interchange-newline"></H3>
<H2>Machine Learning  Bootcamp in Berlin -Predictive Analysis of Python (Beginner-suited)</H2>
<H3><EM>Berlin, March 27th, 2019  </EM>instructed by <A HREF="http://www.skampakis.com" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Dr. Stylianos Kampakis </A></H3>
<P>The purpose of this Bootcamp is to teach how to use Python and machine learning in order to learn predictive analysis of your product. It takes you through all the steps, from collecting data using a web crawler to making profitable bets based on your predicted results.</P>
<DIV CLASS="container">
<DIV CLASS="row">
<UL>
<LI>Intro to Python and Pandas.</LI>
<LI>Instructions on how to build a crawler in Python for the purpose of getting stats.</LI>
<LI>Data wrangling.</LI>
<LI>Using machine learning for predictions.</LI>
<LI>Fundamentals of NLP</LI>
<LI>Intro to Spacy</LI>
<LI>Building a basic text classifier with sci-kit learn</LI>
</UL>
<P> </P>
<H2>What will you learn?</H2>
<P>1) Design and code a machine learning pipeline in Python for predicting outcomes.</P>
<P>2) Build and use a web crawler in Python to extract the data from online sources.</P>
<P>3) Understand all the concepts and pitfalls of prediction analysis</P>
<H2><STRONG>Curriculum:</STRONG></H2>
<P>Module 1: Introduction<BR>Module 2: Python and Pandas primer<BR>Module 3: Data crawling<BR>Module 4: Model testing and metrics<BR>Module 5: Data analysis</P>
</DIV>
</DIV>
<H2>Agenda :</H2>
<UL>
<LI>09:00 – 10:00 Registration</LI>
<LI>10:00 – 12:30 Masterclass</LI>
<LI>12:30 - 14:00 Lunch</LI>
<LI>14:00 – 17:30 Masterclass</LI>
<LI>17:30 – 18:00 Question Time</LI>
</UL>
<P> </P>
<P><STRONG>We will send out the class materials as well as required library 2 weeks before the class, please follow the instruction and get the environment ready before coming to class.</STRONG></P>
<H2>Who should attend?</H2>
<UL>
<LI>Data Analyst</LI>
<LI>Developers and Software engineers</LI>
<LI>Business Intelligence (BI)</LI>
</UL>
<H2><BR></H2>
<H2><A HREF="http://tesseract.academy/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer"><STRONG>Testimonial:</STRONG></A></H2>
<P><EM>"Stylianos’s bespoke workshop allows for in-depth complicated analytical concepts to be understood in a manageable and easy way. Coving the background of the constant changing world of data science and breaking down the key concepts of data science."</EM> - Dominik Byrne, Investor, Entrepreneur, Advisor</P>
<H2> </H2>
<H2>Prerequisite</H2>
<H3>What will participants need to know or do before starting this course?</H3>
<P CLASS="course-goals">The course assumes that students DO NOT know Python or machine learning, but that they do have some familiarity with basic programming concepts or languages. Therefore, experience in Python or Machine Learning is not required but will help.</P>
<H3> </H3>
<H3>Q&A:</H3>
<H3><BR></H3>
<H3>Why should you come to in-person training instead of online?</H3>
<P>It allows you to learn from an experienced trainer directly and raise your questions right away also the trainer will be up to the questions on Github after the Bootcamp.</P>
<P><STRONG>Want to know more what predictive analytics can do for your business? </STRONG></P>
<P>Check our article <A HREF="https://beyond-machine.com/heres-what-you-need-to-know-about-data-mining-and-predictive-analytics/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">here</A>. </P>
<P><STRONG>Our previous testimonials are <A HREF="https://beyond-machine.com/heres-what-you-need-to-know-about-data-mining-and-predictive-analytics/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">here</A>. </STRONG></P>
<P><BR></P>
<P><STRONG>The seats are limited to 15 people only, sign up NOW.</STRONG></P>
<HR>
<P>¹ Dr. Stylianos Kampakis is an expert data scientist (with a decade of experience), member of the Royal Statistical Society, an honorary research fellow at the UCL Centre for Blockchain Technologies and startup consultant living and working in London. A natural polymath, with degrees in Psychology, Artificial Intelligence, Statistics, Economics and a Ph.D. in Computer Science from University College London he loves using his broad skillset to solve difficult problems. You can learn more about his work at <A HREF="http://www.skampakis.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">skampakis.com</A>.</P>

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Machine Learning Bootcamp- Crash Course of Predictive Analysis (For Beginner)

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