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Bayesian Network in Python
AI Mysteries
Vijaysinh Lendave

A Guide to Inferencing With Bayesian Network in Python

In this post, we will walk through the fundamental principles of the Bayesian Network and the mathematics that goes with it. Also, we will also learn how to infer with it through a Python implementation.

AI Mysteries
Victor Dey

Understand the Significance of T-Test and P-Value Using Python

The T-test is a hypothesis testing method that helps in testing the significance of two or more groups and determining the important differences between the groups being compared. It is a variation of inferential statistics and is mostly used with datasets that possess a normal distribution but with unidentified variances.

AI Mysteries
Victor Dey

Exploring DataPrep: A Python Library For Data Preparation & EDA

DataPrep is an open-source library available for python that lets you prepare your data using a single library with only a few lines of code. DataPrep can be used to address multiple data-related problems, and the library provides numerous features through which every problem can be solved and taken care of.

AI Mysteries
Vijaysinh Lendave

Complete Guide To LightGBM Boosting Algorithm in Python

Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm. It has quite effective implementations such as XGBoost as many optimization techniques are adopted from this algorithm. However, the efficiency and scalability are still unsatisfactory when there are more features in the data.

AI Origins & Evolution
Debolina Biswas

Rust Vs Python: A Comparison

Rust is used for game engines and operating systems; while Python is used for web application development and enterprise applications.

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