Machine Learning in Action - San Francisco

Description
Content
Speaker
COURSE OBJECTIVES:
This one day immersive training will get you up to speed on machine learning technology. You will learn:
  • Recognize problems that can be solved with Machine Learning
  • Select the right technique for the problems.
  • Master machine learning in python and Scikit-learn
  • Build powerful machine learning models and know how to combine them to solve any problem
  • The course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models with open source software like Python, Pandas, Numpy, Scikit-learn.

    COURSE SCHEDULE:
    • Feb 23rd, Sat 9am-5:00pm PST

    COURSE INCLUDE:
    • 8 Hours/ 4 modules of lectures
    • 4 hands-on code labs
    • Training materials
    • breakfast, lunch and coffee breaks

    COURSE CONTENT:
    Check the content tab for full course outlines.

    WHO SHOULD LEARN:
    Developers and Data Scientists who are seeking to get into Machine Learning.

    PREREQUISITE:
    1 year of Python experience

    Agenda
    Module 1: Introduction to Machine Learning
    • Recognize problems that can be solved with Machine Learning
    • Select the right technique
    • Lab 1: Pandas, Matplotlib
    • Load and manipulate data with Pandas
    • Visualize and explore data with Matplotlib

    Module 2: Introduction to Regression
    • Introduction
    • Regression techniques: Simple/Multiple Linear Regression, Polynomial Regression
    • Build models with Scikit-Learn
    • Lab 2: Scikit Learn Regression

    Module 3: Introduction to Classification
    • Introduction
    • Classification techniques: Logistic Regression, K-NN, SVM, Decision Tree Classification, Ensembles
    • Build models with Scikit-Learn
    • Lab 3: Scikit Learn Classification

    Module 4: Introduction to Clustering
    • Introduction
    • Clustering techniques: K-Means, DBSCAN
    • Build models with Scikit-Learn
    • Lab4: Scikit Learn Clustering
    Francesco Mosconi

    Francesco Mosconi is CEO and Chief Data Scientist at Catalit Data Science. He is the author of the 5-day Zero to Deep Learning Bootcamp and book. Francesco works at the cutting edge of Machine and Deep Learning training, helping Fortune 500 companies to up-skill through intensive training programs and strategic advisory. Formerly co-founder and Chief Data Officer at Spire, a YC-backed company that invented the first consumer wearable device capable of continuously tracking respiration and physical activity, he is also an instructor at Udemy, Cloud Academy, and served as Data Science lead instructor at General Assembly and The Data Incubator. Francesco holds a joint Ph.D. in Physics and Biology.
    • Start Date: ended
    • Venue: ZGC Center, Santa Clara, CA
    • Fee:
      $499 $249
    • Students enrolled:12
    • Status: course ended
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