The loan eligibility model is a predictive analytical model that considers the gender, marital status, number of dependents, education, employment status, and income of a client to accurately predict their loan eligibility status. It was designed using the XGBClassifier and fine-tuned to provide acceptable results, enabling proactive risk management and ultimately establishing a more resilient and responsive financial institution.
Temperature, humidity, soil pH, rainfall , as well as amount of nitrogen, phosphorus and potassium content are necessary considerations in determining the right crop specie to grow. Using historical agrological data of performance of crops in relation to varying soil and weather conditions, we have implemented analytical steps, trained and refined a model capable recommending plants suitable in a any farming environment.
Tumors makers which are traditionally proteins or other substances produced at higher amount by cancer cells than normal cells are better indicators of cancer in test subjects. However, the objective of this model is to employ the use of the combination of known causes and symptoms of cancer to accurately predict the prevalence of cancer in patients. The factors considered are chemical toxicosis, anxiety, peer pressure, presence of a chronic disease, fatigue, allergies, wheezing, chest pain, coughing, swallowing difficulty and shortness of breath. All of which have varying degree of correlation with cancer.
This model is trained on historical hydrological data to determine the potability of water. The factors considered include, pH, Hardness, presence of solids, amount of chloramines, sulfates, organic_carbons and trihalomethanes, electrical conductivity and turbidity.
Motion Security is the best way to secure your computer while at work. The software employs the use of primary pc camera to detect the presence of a user while still in front of the Read more…
The mlutility tool is a combination of the crop recommendation model which aims to provide guidance in the decision of choice of plants to cultivate considering all necessary environmental factors and the house loan eligibility Read more…