Optimize ML models with Grid Search, Random Search, and Bayesian Optimization. Boost performance, reduce overfitting, and enhance metrics.

Discretization transforms continuous data into categories for better analysis. Explore key techniques for both unsupervised and supervised m

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!

In this article we will go through a quick overview of what Bayesian modeling is and how can we use probabilistic programming to leverage it