2 years ago
Well the good thing is that one doesn't need to possess a PhD-level understanding of the theoretical aspects of machine learning in order to practice. Hence, the best way to get started using Python for machine learning is to complete a small project.
It would be highly recommended for one to try this project - "Project Hello World of Machine Learning in Python"
This is a good project because it is so well understood.
*Attributes are numeric so you have to work out how to load and handle data. *It is a classification problem, allowing you to practice with perhaps an easier type of supervised learning algorithm. *It is a multi-class classification problem (multi-nominal) that may require some specialized handling. *It only has 4 attributes and 150 rows, meaning it is small and easily fits into memory (and a screen or A4 page). *All of the numeric attributes are in the same units and the same scale, not requiring any special scaling or transforms to get started.
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Attributes are numeric so you have to work out how to load and handle data. *It is a classification problem, allowing you to practice with perhaps an easier type of supervised learning algorithm. *It is a multi-class classification problem (multi-nominal) that may require some specialized handling. *It only has 4 attributes and 150 rows, meaning it is small and easily fits into memory (and a screen or A4 page). *All of the numeric attributes are in the same units and the same scale, not requiring any special scaling or transforms to get started.
For Your Information: We are currently building an online careers portal - datasciencejobslondon for those who are aspiring to work within big data or who already work within the field and are looking for careers specifically within the areas of data science, machine learning, deep learning, data analytics, big data and statistics. If you would like to be added to our e-mail list regarding job opportunities and interesting updates please e-mail us at: info@datasciencecareer.co.uk
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