Must know statistical tests for testing statistical significance in Machine Learning and Data Science: One-sided & Two-sided T-test, F-test, 2 Sample Z-test, 2 Sample T-test, Chi-Squared test
Understanding Artificial Intelligence: An Introduction to AI with no technical terms. we’ll delve into the history of AI, from Alan Turing’s pioneering work to the birth of the AI conversation and the development of intelligent machines. By understanding the past, we can better appreciate the present and anticipate the future of AI.
Introduction to bias-variance trade-off, overfitting and how to solve overfitting using regularization: Ridge and Lasso Regressions.
End-to-end A/B testing for your Data Science experiments for non-technical and technical specialists with examples and Python implementation
Key statistical concepts for your data science or data analysis journey with Python Code. Knowing the fundamentals of these two important subjects will allow you to think critically, and be creative when using the data to solve business problems and make data-driven decisions.