The work is a continuation of the work done by the author in the field of Medical Science. In the current scenario we are suffering from the problem of COVID. The pandemic is having a deep impact on various countries of the word. The pandemic has influence all across the world. There are various other diseases like cancer which is affecting a lot of population across the globe. In the current work the author is engaged in the survey and exploration of ways to face a disease called Thyroid. In the current work the author made survey of the Machine Learning approaches to make a detection of the Thyroid. In the current work the author made a utilization of the Tool called Python. The author made good utilization of the libraries present in Python. In the current work the author surveyed and used the algorithms namely Gradient Boosting Classifier, ADA Boost Classifier, Light Gradient Boosting Machine, Decision Tree Classifier, Extra Tree Classifier, Logistic Regression, K-Neighbors Classifier, SVM-Linear Kernel, Linear Discriminant Analysis, Ridge Classifier, Dummy Classifier, Naïve Bayes and Quadratic Discriminant Analysis. The work done by the author is an approach that still is having some limitations like the output user interface is not prepared which would have made the project more user interactive. The dataset is taken from Kaggle. The number of rows and columns present in the dataset of Kaggle is not that rich however the accuracies that are obtained after running of the code is extremely acceptable. But it would be more efficient if the data set would have considered more parameters and the number of tuples in the dataset would be more.