Explore the basics of statistical data analysis, covering key metrics like mean, variance, skewness, kurtosis, and correlation.

Discover why more dimensions can spell trouble for data and learning, turning simple problems into complex, high-dimensional challenges!

Boost your model's accuracy with bagging! Learn how ensemble techniques can stabilize predictions and improve performance.

Models could spread bias and discrimination if you don't know what they have learned. Here we show a technique to prevent it.

Unlock the power of decision trees! Discover how this simple yet robust tool can revolutionize your data analysis.

Explore the hidden biases in LLMs and their impact. The opinions of which sector of society are reflected in them?