The Importance of Statistics Concepts in Data Science and Machine Learning

Discover:

• Why is Statistics important in Data Science and Machine Learning?
• Six Statistics Concepts You Need to Know

💡I write about Machine Learning on Medium || Github || Kaggle || Linkedin. 🔔 Follow “Nhi Yen” for future updates!

The Importance of Statistics Concepts in Data Science and Machine Learning

Why is Statistics important in Data Science and Machine Learning?

Statistics is an integral part of Data Science and Machine Learning, providing a framework for collecting, analyzing, and interpreting data. In today’s data-driven world, businesses and organizations require the insights provided by data to make informed decisions. Statistics helps to transform raw data into actionable insights, allowing businesses to optimize their operations, improve customer satisfaction, and increase revenue.

Statistics is an integral part of Data Science and Machine Learning

One way in which statistics is crucial to data science is in the process of data cleaning. Data cleaning involves identifying and correcting errors, filling in missing values, and transforming data into a usable format. This process is essential because machine…