K-Nearest Neighbours is one of the most basic yet essential classification algorithms in Machine Learning. It belongs to the supervised learning domain and finds intense application in pattern recognition, data mining and intrusion detection. It is widely disposable in real-life scenarios since it is non-parametric, meaning, it does not make…

Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. Decision trees learn from data to approximate a sine curve with a set of if-then-else decision rules. The deeper the tree, the more complex the decision rules and the fitter the model. Decision tree builds classification…

Duck DB is a new open source SQL database that is gaining popularity due to its ease of use and scalability. DuckDB is an open-source SQL database designed to be easy to use and highly scalable. It offers a variety of features, such as support for multiple data types, ACID…

This will help you build a Handwriting recognition system that helps in extracting out information from forms filled by students for scholarships or forms filled in banks and saving to database for searchable format. This is one of the project I started my career with. This could be helpful for…

Sentiment Analysis is the process of identifying and classifying assessments which are present in form of text, that represents the inclination of writer’s sensibility towards a particular entity. Sentiment analysis is particularly useful for monitoring of reviews, tweets or feedback. Here, we are analyzing sentiments out of IMDB Movie reviews. …