Learn Python Programming from Scratch
Accurately forecasting farm productivity—measured as crop yield (hectograms per hectare)—is essential for farmers, agribusinesses, and policy‑makers to optimise input use, manage food supply, and ensure economic sustainability. In this project,...
Operating rooms (ORs) are high‑cost environments where inaccurate estimates of procedure duration can lead to scheduling inefficiencies, increased patient wait times, and resource under‑ or over-utilisation. In this medical procedure...
Accurately predicting the operation & maintenance (O&M) cost of hydropower plants is important for budgeting, tariff setting, and lifecycle planning. O&M costs depend on plant characteristics (installed capacity, head, turbine...
Universities invest huge amounts of money in retention programs—tutoring, counselling, and engagement activities—to decrease dropout rates and improve student outcomes. Accurately forecasting the cost required to retain at‐risk students enables...
In the dynamic real estate industry, accurate prediction of house prices is paramount for stakeholders such as buyers, sellers, agents, and investors. This ML project aims to leverage machine learning...
Pneumonia is a dangerous lung infection that’s hard to diagnose in its early stages. Fortunately, with the help of deep learning and AI, we can detect it accurately from medical...
What is Breast Cancer? Breast cancer is a prevalent form of cancer that affects both men and women, although it is very rare in men compared to women. Machine learning...
The Amazon Book Analysis project aims to analyze a dataset of best-selling books on Amazon, utilizing libraries like NumPy, Matplotlib, Seaborn, and Pandas to create visualizations. It explores genre distribution,...
The objective of this project model is to develop a Random Forest Classifier model that can predict whether an individual has Parkinson’s disease based on various features. In order to...
This project aims to build a machine learning model to detect credit card fraud. The dataset used in this project is the “creditcard.csv” file which contains credit card transactions made...
