Learn about linear regression, understand its nuances in machine learning, and explore its limitations and alternatives.
Simplified Guide to Key Statistical Terms in Machine Learning
Learn about key statistical terms used in machine learning like RSS, TSS, R^2, F1 score, and p-value, explained in a simplified manner.
Machine Learning: Datasets, Training, and Cross-validation
Explore the basics of handling datasets in machine learning, understanding the distinction between training and test data, and the role of cross-validation. Simplified for beginners.
Simplifying Machine Learning: Dimensionality Reduction
Explore the concept of dimensionality reduction in machine learning, understand various techniques including PCA, and learn how they simplify your data analysis.
What database software is typically used by data scientists?
Data scientists often work with various types of databases depending on the specific requirements of their projects. Some commonly used database software in the field of data science include…