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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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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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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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Probability Distribution Function
Discover probability distribution functions, their formulas, types like PDF, PMF, and CDF, and explore discrete and continuous distributions.
Harika 08 Apr, 2025
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A Guide To Monte Carlo Simulation!
Discover Monte Carlo Simulation with this guide: understand probability, learn Python implementation, and explore decision-making.
Dinesh 29 Oct, 2024
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Basic Statistics Concepts for Machine Learning Newbies!
Explore the fundamentals of statistics: types, data, central tendency, spread, normal distribution, skewness, CLT, PDF, CDF, and how to calculate them.
Raghav Agrawal 24 Jul, 2024
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Let’s Unfold the Mystery of Different Probability Distributions!
Here, we will use the Random module of Python to visualize some of the common probability distributions and understand their Fundamentals
Chirag Goyal 12 Nov, 2024
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Get Started with Statistics for Data Science
Statistics is the study of collecting and extracting information from quantitative data for making inferences and decisions
Akil 22 Jul, 2021
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Decoding the Generative and Discriminative Models
The best generative and discriminative machine learning models: uses, key features, implementation and Generative vs Discriminative Models.
Chirag Goyal 13 Dec, 2024
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What are the odds that you know about the odds
Discover the basics of log odds with our beginner's guide. Learn how to interpret and apply this important statistical concept today. Start learning now!
Vishwanath 16 Nov, 2023
