The Brahmagupta's formula is an ancient Indian mathematical equation that gives the solution to the quadratic equation $ax^2 + bx + c = 0$.

Fibonacci was an Italian mathematician who developed the Fibonacci sequence in the 13th century. However, the sequence was known in India centuries before Fibonacci's time.

Linear regression, logistic regression, and decision trees are all data science techniques that use mathematical equations to model and predict data.

Pascal was a French mathematician who developed the Pascal triangle in the 17th century. However, the triangle was known in India centuries before Pascal's time.

The Euclidean distance, the Manhattan distance, and the cosine similarity are all mathematical equations that are used in data science to measure the similarity between two data points.

Brahmagupta was an Indian mathematician who developed the Brahmagupta's formula in the 7th century.

K-means clustering, hierarchical clustering, and DBSCAN are all data science techniques that use mathematical equations to cluster data points.

Fibonacci was an Italian mathematician who developed the Fibonacci sequence in the 13th century. However, the sequence was known in India centuries before Fibonacci's time.

The linear regression equation, the logistic regression equation, and the decision tree equation are all mathematical equations that are used in data science to predict the value of a target variable.

Pascal was a French mathematician who developed the Pascal triangle in the 17th century. However, the triangle was known in India centuries before Pascal's time.

Principal component analysis, singular value decomposition, and factor analysis are all data science techniques that use mathematical equations to reduce the dimensionality of data.

Brahmagupta was an Indian mathematician who developed the Brahmagupta's formula in the 7th century.

Z-score, Grubbs' test, and Dixon's test are all data science techniques that use mathematical equations to detect outliers in data.

Fibonacci was an Italian mathematician who developed the Fibonacci sequence in the 13th century. However, the sequence was known in India centuries before Fibonacci's time.

The mean squared error, the root mean squared error, and the coefficient of determination are all mathematical equations that are used in data science to measure the uncertainty of a prediction.