The effectiveness of cancer prediction system helps the people to know their cancer risk with low cost and it also helps the people to take the appropriate decision based on their cancer risk statu…

Machine learning model deployment, also known as putting models into production, refers to making your models available to end users or systems. The deployment of machine learning models, on the ot…

Majorly focus on python file debugging

Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of areas including movies, music, news, boo…

Machine learning models can identify data trends and forecast outcomes. Machine learning models can be trained on a collection of tomato leaf photos annotated with their diseases to predict leaf di…

The Credit Risk Analyzer focuses on measuring, analyzing and controlling counterparty default risk. The first phase aims to cover the specific risks associated with financial transactions in a comp…

Data analysis is a technique that typically involves multiple activities such as gathering, cleaning, and organizing the data. These processes, which usually include data analysis software, are nec…

Data Specialists are in charge of supervising the creation of new databases, monitoring database performance, and analyzing raw data to produce useable feedback and applications. A Data Specialist …

Interactive data analytics

Basic fundamentals of R programming and Some Mathematical Analysis was done

Kaggle Competition Case Study DataStorm 3.0