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Which is the best Python for data science?
Solving Data Science Case Studies with Python is an eBook written by Aman Kharwal. This book is specially written for those who know the basics of the Python programming language as well as the necessary Python libraries you need for data science like NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Scikit-learn.
How to solve a data science problem in Python?
The general steps involved for solving a data science problem are as follows: Those of you who are not familiar with the field of Data Science and Python programming language can still follow through the article as it will give an high level overview about how these kind of problems are approached and solved.
Are there any case studies in data science?
Below are 3 data science case studies that will help you understand how to analyze and solve a problem. All of the data science case studies mentioned below are solved and explained using Python. If you are one of them who is having an interest in natural language processing then this use case is for you.
What does solving a case study in Python mean?
Solving a Data Science case study means analyzing and solving a problem statement intensively. Solving case studies will help you show unique and amazing data science use cases in your portfolio. In this article, I’m going to introduce you to 3 data science case studies solved and explained using Python.
Last Update: Oct 2021
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26.10.2021 12:24
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