How Can Beginners Learn Data Science Algorithms?

Key takeaways

MachineHack has introduced MachineHack Practice to assist newcomers in understanding fundamental data science algorithms.

The platform offers tutorials with preliminary information and additional resources for guidance.

Users can engage with a coding tool to practise algorithms on simplified problems.

MachineHack Practice also directs users to a hackathon for skill assessment.

Data Science is a field which brings computer science, statistics, mathematics and other fields together. But there is also a need for newcomers to cut through the confusion and get their hands dirty in the world of fundamental data science algorithms. Keeping this in mind, MachineHack has launched a feature called MachineHack Practice to give young and beginner-level data scientists access to computing resource with guidance to use basic data science algorithms with the use of popular libraries. Please access MachineHack Practise by clicking here. MachineHack Practise is made up of a series of tutorials which contains:

Preliminary information regarding the algorithm on the home page
Resources for further guidance on the home page
Coding tool with guided usage of the algorithm on a small toy problem
Direction to our Hackathon where you can use the knowledge to check your skills

Please access MachineHack Practise by clicking here. The feature is designed specifically to transition young and new data scientists to tackle more challenging problems by introducing basic concepts and giving them confidence. Currently, there are 5 tutorials on the following algorithms:

MachineHack Practise 1: Linear Regression
MachineHack Practise 2: Multiple Linear Regression
MachineHack Practise 3: Support Vector Regression
MachineHack Practise 4: Decision Tree Regression
MachineHack Practise 5: Random Forest Regression

Please find Machinehack Practise feature here.

Looking To Learn Fundamental Data Science Algorithms — MachineHack Launches New Feature Called MachineHack Practise

Key takeaways

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