This is a very basic project which I have done with the purpose of integrating it with an app called Oncogems for Cancer Prediction.Here I have used a very simple and easy-to-learn dataset for Cancer detection.I have used the Random Forest Classifier model for predicting it and got an accuracy of 99%.The main challenge lie in the fact that there were multiple columns which needed to be get rid of and so I have used various pre-processing techniques for cleaning them.There were also many null values in those columns which I have replaced with the least occuring values in those columns to maintain a balance between each of those unique values in a column.I have also checked for the presence of any Outliers using Threshold technique and have removed them for keeping the dataset balanced.I have used the concept of One-hot encoding to encode the required string/character variables and make them compatible with other variables in the dataset.