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Posts by Daisy

link to Django vs. Flask: What Works Better for Machine Learning?

Django vs. Flask: What Works Better for Machine Learning?

In data science—especially for machine learning—Python is one of the most popular programming languages. Therefore, the question of which framework is best for deploying a machine learning model...

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link to Data Science vs. Full Stack: Which Career Path Is Better?

Data Science vs. Full Stack: Which Career Path Is Better?

People with a computer science degree often find that there are many job opportunities for them, and each one offers a high paying position and lots of room for growth. But two of the most often...

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link to Is PyCharm Good for Data Science?

Is PyCharm Good for Data Science?

With so many software types to choose from, it can be challenging to know which one to choose. If you’re looking for a data science tool, PyCharm is a good choice. Thanks to its student license,...

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link to Is edWisor Good for Data Science? (2021 Review)

Is edWisor Good for Data Science? (2021 Review)

With so many remote learning opportunities out there, it’s hard to choose the best one. edWisor has been training data scientists since 2015 and has an excellent Job Readiness Program to support...

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link to Is Simplilearn Good for Data Science? (2021 Review)

Is Simplilearn Good for Data Science? (2021 Review)

Being able to conclude the future can be a very powerful thing; that is why data science is so valuable. Since it uses strategies from multiple data-related disciplines (i.e., math, programming,...

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link to VBA vs. Python: What Is Better for Data Analysis?

VBA vs. Python: What Is Better for Data Analysis?

Whenever we talk about data analysis, Excel and VBA are the first tools that come into an average person's mind. However, Python has been growing rapidly for the last couple of years with the rise of...

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About the Author

Daisy is the founder of DataScienceNerd.com. Passionate for the field of Data Science, she shares her learnings and experiences in this domain, with the hope to help other Data Science enthusiasts in their path down this incredible discipline.

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