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Data-analysis

January 17, 2023 • –––views
Unlocking the Secrets of Machine Learning: Techniques for Interpreting Complex Models
machine-learning supervised-learning regression data-analysis data-science Model-interpretability
Model interpretability in machine learning, including the use of LIME and SHAP techniques

December 21, 2022 • –––views
Out with the Outliers: How to Remove Outliers in Python
outliers regression data-analysis data-science
How to identify and remove outliers from data using Python, using techniques such as visualization, z-scores, and interquartile range (IQR).

December 16, 2022 • –––views
The Ins and Outs of Regression: Types, Training, and Evaluation
machine-learning supervised-learning regression data-analysis data-science
Regression is a supervised learning algorithm used to predict continuous or real-valued outputs for given inputs, and is widely applied in a variety of fields to make accurate predictions.