Essential Statistical Tests For Statistical Significance in Machine Learning
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
What is Artificial Intelligence?
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.
Bias-Variance Trade-Off, Overfitting and Regularization in Machine Learning
Introduction to bias-variance trade-off, overfitting and how to solve overfitting using regularization: Ridge and Lasso Regressions.
Data Sampling Methods in Python
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
Complete Guide to A/B Testing Design, Implementation and Pitfalls
End-to-end A/B testing for your Data Science experiments for non-technical and technical specialists with examples and Python implementation
Fundamentals Of Statistics For Data Scientists and Analysts
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.