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AI-ML-DS / Data Science

Data Science

614+ posts

LMNs -Linear Algebra

Last Updated: 24 January 2025

Linear algebra isthe study of linear combinations. It is the study of vector spaces, lines and planes, and some mappings that are required to perform the linear transforma...read more

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Computer Subject

What is Gradient descent?

Last Updated: 30 May 2025

Gradient Descent is a fundamental algorithm in machine learning and optimization. It is used for tasks like training neural networks, fitting regression lines, and minimiz...read more

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Machine Learning

Probability Data Distributions in Data Science

Last Updated: 24 May 2025

Understanding how data behaves is one of the first steps in data science. Before we dive into building models or running analysis, we need to understand how the values in ...read more

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Machine Learning

ANOVA for Machine Learning

Last Updated: 24 May 2025

ANOVA is useful when we need to compare more than two groups and determine whether their means are significantly different. Suppose you're trying to understand which ingre...read more

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Machine Learning

StatsModel Library- Tutorial

Last Updated: 03 February 2025

Statsmodels is a useful Python library for doing statistics and hypothesis testing. It provides tools for fitting various statistical models, performing tests and analyzin...read more

Python-statsmodels

AI-ML-DS With Python

How to Set Up VS Code for Data Science and AI - Ultimate Guide

Last Updated: 10 February 2025

Visual Studio Code (VS Code) is a powerful, lightweight, and extensible code editor that is widely used for data science and AI projects due to its ability to handle Pytho...read more

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Data Science Proejcts

T-test vs Z-test

Last Updated: 06 February 2025

T-test and a Z-test- both tests help determine whether differences between sample means are statistically significant, but they apply to different scenarios. Z-test is use...read more

Machine Learning

A/B Testing using Python

Last Updated: 24 May 2025

A/B testing is a way to compare two versions of something to find out which one works better. In this you divide people into two groups, show them different versions and t...read more

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AI-ML-DS With Python

MANOVA Test in Machine Learning

Last Updated: 24 May 2025

Multivariate Analysis of Variance (MANOVA) is a statistical test used to determine if there are significant differences between multiple groups on multiple dependent varia...read more

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Machine Learning

AI-ML-DS With Python

Statistics: The Foundation of Data Science

Last Updated: 27 May 2025

Statistics helps us collect, understand, and make sense of data. From spotting trends to making predictions, statistics gives us the tools to turn raw numbers into useful ...read more

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Machine Learning

Likelihood Function

Last Updated: 02 June 2025

The likelihood function is an important concept in statistics and machine learning and forms basis in many key methods such as maximum likelihood estimation (MLE), Bayesia...read more

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Cox Proportional Hazards Model

Last Updated: 30 May 2025

The Cox Proportional Hazards Model, often just called the Cox model, is a statistical technique used in survival analysis. It helps us understand how different factors aff...read more

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Box-Cox Transformations

Last Updated: 30 May 2025

The Box-Cox transformation is a set of power transformations made to stabilize variance and make data more normally distributed, which is required in many statistical tech...read more

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Machine Learning

Cross - Correlation

Last Updated: 14 May 2025

Cross-correlation is a method used to see how similar two sets of data are, especially when one is shifted in time. It helps us find out if a change in one set happens bef...read more

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Last Updated: 01 May 2025

In statistics and machine learning, the log likelihood helps to measure how well a model explains the data. This complex probability simplifies calculations and is widely ...read more

Machine Learning

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