Fill your skill gaps in AI and Data Science

External Tag: statistics

A Deep Dive into the Science of Statistical Expectation

External Tags deep-dives, editors-pick, random-variable, statistical-expectation, statistics

Quantile Loss & Quantile Regression

External Tags linear-regression, machine-learning, python, quantile-regression, statistics

Modeling EEG Signals using Polynomial Regression in R

External Tags data, data-science, polynomial-regression, r, statistics

In Conversation with Dr. Sagar Dhanraj Pande, Assistant Professor of Data Science

External Tags data science education, data-science, Education, Learning Path, machine-learning, Maths, python, r, statistics, Success Story, VIT-AP

When You Should Prefer “Thompson Sampling” Over A/B Tests

External Tags a-b-testing, data-science, hands-on-tutorials, statistics, thompson-sampling

Visualizing the Effect of Multicollinearity on Multiple Regression Model

External Tags data-science, data-visualization, hands-on-tutorials, Regression, statistics

Talk to Your Dataset With PandasAI

External Tags ai, artificial-intelligence, Beginner, blogathon, data-analysis, dataset, generative-ai, Guide, language-model, library, LLM, machine-learning, openai, pandas, python, statistics

A Beginner-Friendly Introduction to Applied Science

External Tags data-science, julia, programming, statistical-analysis, statistics

Unbox the Cox: Intuitive Guide to Cox Regressions

External Tags cox-proportional-hazards, cox-regression, data-science, maximum-likelihood, statistics

Predicting the Unpredictable: An Introduction to the Poisson Distribution

External Tags artificial-intelligence, data-science, machine-learning, optimization, statistics