Provide Python code for statistical modeling, A/B testing, and feature engineering.
npx skills add https://github.com/eyadsibai/ltk --skill data-science-eyadsibai
Please help me install this Agent Skill. Skill: data-science Source: https://github.com/eyadsibai/ltk/tree/main/plugins/ltk-data/skills/data-science Command: npx skills add https://github.com/eyadsibai/ltk --skill data-science-eyadsibai
This Skill provides guidance and code examples for complex data science tasks, enabling users to perform statistical modeling, design experiments, and analyze data effectively.
Use the data-science skill to calculate the required sample size for an A/B test with a baseline conversion rate of 5% and a minimum detectable effect of 10%.
High-intent search queries and answers about installing and using this skill.
To calculate A/B test sample size, you apply experiment design frameworks using your baseline conversion rate and minimum detectable effect. This Skill provides executable Python code to compute the exact statistical requirements for significance analysis.
The best way to create features in pandas is using dedicated feature engineering scripts. This Skill provides Python code for generating temporal, aggregation, and ratio-based features to prepare data for predictive modeling.
Propensity score matching works by statistically pairing subjects to isolate causal effects from observational data. This Skill implements causal inference techniques to estimate the impact of treatments while controlling for confounding variables.
Yes, you can use scikit-learn for robust model evaluation. This Skill provides tools and Python code to perform cross-validation, ensuring your statistical modeling and predictive workflows are accurately assessed.
Advanced statistical knowledge helps, but this Skill provides comprehensive guidance and executable code for experiment design. It covers A/B testing, sample size calculation, and significance analysis to facilitate data analysis workflows.
dtbuchholzStructure data science tasks with EDA, statistical analysis, and model development.
zhangzhang-111-iDesign A/B tests, engineer features, and evaluate models with MLflow.
KaranKathur06Convert raw tabular and time-series data into modeling-ready datasets with statistical analysis.
zangxin75Perform statistical modeling, A/B testing, and time series forecasting.
