Course: Fundamentals of Linear Regression Models
duration: 8 hours |
Language: English (US) |
access duration: 90 days |

Details
Machine Learning is everywhere nowadays, but often invisible to most of us. Discover one of the fundamental problems in the world of Machine Learning and how this is solved using traditional Machine Learning and Neural Networks.
Use the Scikit Learn and Keras libraries to build a linear
regression model. Explore the techniques and risks associated with
the use of multiple regression factors.
Learn one of the
techniques to estimate the likelihood of an outcome. Finally, you
learn the steps that are required to build standard regression and
classification models and how they can be standardized.
Result
You can build a linear regression model using the Scikit Learn and Keras libraries.
Prerequisites
No specific prior knowledge is required, but it is useful to have knowledge about statistics, algorithms and Python.
Target audience
Data analist
Content
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