Data Science

How do Data Scientists choose the best algorithm for a project?

The question is about Data Science .

Answer:

Data Scientists select algorithms based on the problem type (such as regression, classification, or clustering) and consider the data's appearance. They take into account whether the result should be easy to explain, the required processing speed, and the amount of available data before making a decision.

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Maksym is a Data Scientist with four years of experience specializing in machine learning and data analysis. He has developed expertise in deep learning frameworks such as PyTorch and TensorFlow, and proficiently uses librari... Read More

Level
Middle
Availability
40 h/w
Experience
4 yrs.
English
B2
Alexander C
  • Rasterio
  • Shapely
  • GeoPandas
  • ScikitLearn
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Eight years in data science with a strong lean toward computer vision and geospatial applications. I've spent a good chunk of my career working on drone and satellite imagery - from precision agriculture with SeeTree to UAV n... Read More

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Senior
Availability
40 h/w
Experience
8 yrs.
English
C1

Nine years developing data science solutions across agritech, defence, fintech, and sports analytics. Built Quantum's entire DS department from scratch — hired over 30 people, created learning pathways, and mentored MSc and P... Read More

Level
Senior
Availability
40 h/w
Experience
9 yrs.
English
C1
Victoriia S.

Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More

Level
Senior
Availability
20 - 30 h/w
Experience
10 yrs.
English
C1
Cortance 5-star rating on ClutchCortance 5-star rating on GoodFirms
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CEO

Cortance delivered the project within schedule and according to the end client's requirements. The team had a clear workflow and was responsible, professional, and kind. They translated the end client's vision into the product and faced any challenges with patience and impressive responsiveness.

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CEO

Thanks to Cortance's efforts, the client delivered the project on time. The team provided solid support and communicated primarily through virtual meetings, emails, and messaging apps. Their seamless integration and proactive problem-solving approach resulted in a positive partnership.

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