## Bagging Decision Trees — Clearly Explained

Ensemble Technique- Bagging Photo by Pixabay from Pexels Decision Trees Decision trees are supervised machine learning algorithm that is used for both classification and regression tasks.

## Important Terms in Statistics- Machine Learning

Statistics and Probability Concepts Photo by Mikael Blomkvist from Pexels In machine learning, statistics and probability play an important role. Whenever we infer population parameters from

## Bias vs Variance Trade-off — Clearly Explained

Bias vs Variance, Overfitting vs Underfitting Photo by Gabby K from Pexels Why we need a bias-variance tradeoff In machine learning, we collect data and build

## Hypothesis Testing- Test of Mean, Variance, Proportion

Statistics p-value approach, critical value approach, confidence interval approach Photo by Pixabay from Pexels Hypothesis Testing Hypothesis testing is used to determine whether the assumption about the

## The Concepts Behind Logistic Regression

Sigmoid function, Log Loss, Odds Ratio, Model coefficient, Metrics Photo by Mikael Blomkvist from Pexels Logistic Regression Logistic Regression is one of the supervised machine learning

## Unpacking Lists and Tuples in Python

Unpack multiple values, ignore some, handle errors, and more Photo by Markus Spiske on Unsplash. Packing means collecting several values into a single variable (tuple), like a=’red’,’square’,’apple’.