Overview: Beginner projects focus on real datasets to build core skills such as data cleaning, exploration, and basic ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

movie-recommendation-system/ │ ├── app.py # Main Streamlit application (UI + recommendation logic) ├── preprocess.py # Data Processing of raw dataset ├── movies_dict.pkl # Preprocessed movie metadata ...

Text-based depression estimation using natural language processing has emerged as a feasible approach for early mental health screening. However, most existing reviews often included studies with weak ...

Abstract: The recommendation engine filters information using specific algorithms and recommends high quality content to customers. It starts capturing more consumer behavior and based on that, ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Abstract: Traditional recommendation systems help users find relevant content or products by predicting user preferences based on historical data. This project focuses on analysing and comparing ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...