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Classification and Regression in Machine Learning
Ang Petrozzino
posted Nov 15, 2018
Seeking Help Machine Learning Q Updates

In this short video, Max Margenot gives an overview of supervised and unsupervised machine learning tools. He covers regression and classification, canonical problems in supervised learning. Max gives an intuitive description of the differences between these two problems and gives a brief survey of introductory techniques for statistical modeling in the field.

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

2 responses
Costantino
Nov 15, 2018

About ML regression why sklearn.neural_network .MLPRegressor isn't enabled in Quantopian?
Are there any plans to add Neural Networks packages like Keras or Theano?
Thanks!

Joakim Arvidsson (Cream Mongoose)
Nov 16, 2018

Thanks! Quite helpful for me. Looking forward to the next one in the series on ML.

It might be helpful to talk a little about which ML algorithm types are supported directly within the Q environment, and which other ones would need to be run outside of Q's environment (e.g. locally or in a cloud environment like Google Colab?) due to resource constraints or security concerns, and then uploaded via the Self Serve Dataset service?

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian.

In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.