Adapt data science to business needs. Write production grade data science pipelines with Python and SQL. Apply classification, regression and clustering.
Use natural language processing and data mining for business needs. Apply rule-based & statistical approaches, word2vec, transformers & LLMs.
Develop backend applications with Django, HTML, CSS & JS. Prepare ML scripts for production on server or cloud. Work with containers.
The goal of this project is to spot bankrupt companies based on 95 financial book attributes.
The goal of this project is to predict if a transaction is fraudulent based on 28 anonymous features and an amount.
The goal is to classify the given texts into 4 subjects i.e, maths, physics, chemistry, and biology.
The goal of this project is to predict fuel consumption based on the car characteristics
The goal of this project is to predict a credit score based on 304 financial attributes.
The goal of the project is to predict chickenpox cases one year ahead based on known history.
The goal of this project is to find areas in India with similar air pollution characteristics.
Simulation of Machine Learning interview with plain OpenAI and based on related articles.
Maximization of a profit from a ride-hailing service is simulated as a function of a payment to drivers.
Taskmate is a task manager web application build using Django framework.