Category: Machine Learning

Finding Outliers in Machine Learning Did you ever notice? Anything that stands away from the “common” will always demand attention. Such un-common observation is usually called as outlier. As

Introduction to Data Visualization Bar Chart: A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional

A Machine Learning or Deep Learning model must be in balanced state (Generalized) If you ever built a supervised Machine Learning model on some real-time data, it is impossible

Anomaly Detection using Gaussian (Normal) Distribution For training and evaluating Gaussian distribution algorithms, we are going to split the train, cross validation and test data sets using blow ratios.

Credit Card Fraud Detection, Anomaly Detection Using Python (Complete – Classification & Anomaly Detection) : Let us take a credit card fraud dataset from Kaggle (https://www.kaggle.com/mlg-ulb/creditcardfraud/Data). The datasets contains