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Implementation of Gaussian Naive Bayes in Python Sklearn
Gaussian Naive Bayes is the easiest and rapid classification method available. Learn how to implement it in Python with sklearn.
Prashant 14 Oct, 2024
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Creating a Simple Z-test Calculator using Streamlit
Let us learn about one of the most popular Hypothesis tests, i.e. Z-test or and create a z-test calculator in python for hypothesis testing
Rahul Shah 27 Nov, 2021
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End to End Statistics for Data Science
Learn how statistics for data science can transform raw data into actionable insights for informed decision-making. Read Now!
Gunjan 01 May, 2025
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Maximum Likelihood Estimation
Explore the fundamentals and advanced concepts of Maximum Likelihood Estimation (MLE) including statistical modeling, Kullback-Leibler divergence, and more.
Naman 06 Feb, 2025
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A Complete Guide on Sampling Techniques for Data Science
In this guide, we will share a detailed deep-dive of what is sampling, what are different sampling techniques, and their industry use cases.
akansha 14 Oct, 2021
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Different Type of Correlation Metrics Used by Data Scientists
The correlation is used to measure the relationship between two variables. Here, we will see the different types of correlation metrics.
Ashray 22 Sep, 2021
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Everything you need to know about Hypothesis Testing in Machine Learning
Hypothesis testing is done to confirm our observation about the population using sample data, within the desired error level.
akansha 09 Sep, 2021
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Q-Q plot – Ensure Your ML Model is Based on the Right Distribution
Q-Q plot ,AKA Quantile-Quantile plots, plots the quantiles of a sample distribution against quantiles of a theoretical distribution.
akansha 06 Sep, 2021
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How To Perform Exploratory Data Analysis -A Guide for Beginners
Enhance your data analysis skills with Exploratory Data Analysis (EDA). Learn how to perform EDA using Python, R, and SPSS. Read Now!.
Nimit 24 Mar, 2025
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Advance Statistics Concepts for Data Science Enthusiasts
In this tutorial, we will discuss some advance statistics concepts that play a crucial role in Feature engineering and data preprocessing.
Raghav Agrawal 11 Aug, 2021
