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A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists

Analytics Vidhya

Overview A/B testing is a popular way to test your products and is gaining steam in the data science field Here, we’ll understand what. The post A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists appeared first on Analytics Vidhya.

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Top 5 Statistical Concepts Every Data Scientist Should Know in 2020!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Must know Statistical concepts for the Data Science journey The main goal. The post Top 5 Statistical Concepts Every Data Scientist Should Know in 2020! appeared first on Analytics Vidhya.

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P-values Explained By Data Scientist

KDnuggets

This article is designed to give you a full picture from constructing a hypothesis testing to understanding p-value and using that to guide our decision making process.

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Journeying into the realms of ML engineers and data scientists

Dataconomy

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

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Cracking the code: The top 10 statistical concepts for data wizards 

Data Science Dojo

Unfortunately, you can’t have a friendly conversation with the data, but don’t worry, we have the next best solution. Hypothesis testing: Hypothesis testing is a key statistical method used to assess claims or hypotheses about a population using sample data.

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9 important plots in data science

Data Science Dojo

Learn about 33 tools to visualize data with this blog In this blog post, we will delve into some of the most important plots and concepts that are indispensable for any data scientist. 9 Data Science Plots – Data Science Dojo 1. Suppose you are a data scientist working for an e-commerce company.

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Unlocking data science 101: The essential elements of statistics, Python, models, and more

Data Science Dojo

Statistics: Unveiling the patterns within data Statistics serves as the bedrock of data science, providing the tools and techniques to collect, analyze, and interpret data. It equips data scientists with the means to uncover patterns, trends, and relationships hidden within complex datasets.