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.
Tag: ML
How to Check Text Similarity Between Two Documents Using Python?
NLTK (Natural Language Toolkit) is a powerful library in Python that provides easy-to-use interfaces to over 50 corpora and lexical resources, including WordNet.
Merging Datasets in Python using Numpy, Pandas
Pandas provides powerful tools for complex data manipulations. For the large datasets, Pandas chunk processing is a better approach.
Normalization and Scaling in Python using ML Libraries
These plots visualize the distributions of the original data and the data after applying each normalization technique.
Gaussian Distribution in Normalization
Gaussian distribution or normal distribution, is significant in data science because of its frequent appearance across numerous datasets.
Normalization – Data Science
Normalization can improve the performance of machine learning algorithms, especially those that are sensitive to feature scales.
What is Data Science?
Data science encompasses a broader set of activities than machine learning, including data preprocessing, model selection and evaluation.