Indian Mathematical Techniques and Data Science

Vedic Mathematics is an ancient Indian mathematical system that includes techniques for solving linear equations, among other things.

Brahmagupta was an Indian mathematician and astronomer who first described the Fibonacci sequence in the 7th century.

Aryabhata was an Indian mathematician and astronomer who developed the concept of zero and negative numbers in the 5th century.

Bhaskara II was an Indian mathematician and astronomer who first described the Pascal's triangle in the 12th century.

Aryabhata was an Indian mathematician and astronomer who developed the concept of the sine function in the 5th century.

Venn Diagrams are a type of diagram used to represent the relationships between different sets of data.

K-Means Clustering is a data clustering technique that divides data into a specified number of clusters.

Linear Regression is a data prediction technique that uses a linear equation to model the relationship between a dependent variable and one or more independent variables.

Principal Component Analysis is a data dimensionality reduction technique that transforms a set of correlated variables into a set of uncorrelated variables called principal components.

Linear Programming is a data optimization technique that finds the optimal solution to a linear objective function subject to linear constraints.

Isolation Forest is a data anomaly detection technique that isolates anomalies by randomly selecting a subset of features and building decision trees on them.

Naive Bayes is a data sentiment analysis technique that uses Bayes' theorem to classify text data into positive or negative sentiment.

Collaborative Filtering is a data recommendation system technique that uses user-item interactions to predict user preferences.

Logistic Regression is a data fraud detection technique that uses a logistic function to model the probability of fraud.

Value at Risk is a data risk assessment technique that measures the maximum possible loss in a portfolio over a given time horizon at a given confidence level.