DISEASE PREDICTION

Technology: Database,DevOps ,Cloud , Machine Learning

Implementing 5 techniques such as Naïve Bayes, KNN, Decision Tree, Linear Regression and

Random Forest Algorithms. These techniques calculate the probability of the dis-ease.

Therefore, average prediction accuracy probability 83% is obtained

Predictive modeling predicts the disease of the user based on the symptoms that user

provides as an input to the system. The system analyzes the symptoms provided by the

user as input and gives the probability of the disease as an output.

Led a team in successfully delivering the project on time.

Achieved Grade: A+ in project evaluation.