Hair Health Prediction

This dataset contains information about various factors that may contribute to baldness in individuals. Each row represents a unique individual, and the columns represent different factors related to genetics, hormonal changes, medical conditions, medications and treatments, nutritional deficiencies, stress levels, age, poor hair care habits, environmental factors, smoking habits, weight loss, and the presence or absence of baldness.

Columns:

• Genetics: Indicates whether the individual has a family history of baldness (Yes/No).
• Hormonal Changes: Indicates whether the individual has experienced hormonal changes (Yes/No).
• Medical Conditions: Lists specific medical conditions that may contribute to baldness, such as Alopecia Areata, Thyroid Problems, Scalp Infection, Psoriasis, Dermatitis, etc.
• Medications & Treatments: Lists medications and treatments that may lead to hair loss, such as Chemotherapy, Heart Medication, Antidepressants, Steroids, etc.
• Nutritional Deficiencies: Lists nutritional deficiencies that may contribute to hair loss, such as Iron deficiency, Vitamin D deficiency, Biotin deficiency, Omega-3 fatty acid deficiency, etc.
• Stress: Indicates the stress level of the individual (Low/Moderate/High).
• Age: Represents the age of the individual.
• Poor Hair Care Habits: Indicates whether the individual practices poor hair care habits (Yes/No).
• Environmental Factors: Indicates whether the individual is exposed to environmental factors that may contribute to hair loss (Yes/No).
• Smoking: Indicates whether the individual smokes (Yes/No).
• Weight Loss: Indicates whether the individual has experienced significant weight loss (Yes/No).
• Baldness (Target): Binary variable indicating the presence (1) or absence (0) of baldness in the individual.

Dataset Purpose:

The dataset is intended for exploratory data analysis, modeling, and predictive analytics tasks aimed at understanding the relationship between various factors and the likelihood of baldness in individuals.