Data Science Archives

Bayes’ Theorem: Probability and Statistics

Bayesian inference is central to probabilistic models and algorithms like Naive Bayes classifiers, which are widely used in machine learning.

Pandas provides powerful tools for complex data manipulations. For the large datasets, Pandas chunk processing is a better approach.

These plots visualize the distributions of the original data and the data after applying each normalization technique.

Gaussian distribution or normal distribution, is significant in data science because of its frequent appearance across numerous datasets.

Normalization can improve the performance of machine learning algorithms, especially those that are sensitive to feature scales.

Data science encompasses a broader set of activities than machine learning, including data preprocessing, model selection and evaluation.