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.
Category: Machine Learning
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.
Machine Learning | Multivariate Linear Regression
Multivariate Linear Regression is similar to linear regression but instead of having single dependent variable Y, we have multiple output variables.
Machine Learning | Multiple Linear Regression
In the last post we learnt about Linear regression with one variable. What if, we have more than one independent variables or features. As we could see, with more independent variables, our model exactly fits the training data.
Python Machine Learning Libraries
Python has several ML libraries but major libraries that are used are the following:
Numpy, Scikit-Learn, Pandas..
Introduction to Machine Learning | Linear Regression
Linear regression is a linear approach to modeling the relationship between a scalar response (or dependent variable) and one or more independent variables.