Machine Learning to predict product failure
Purpose of this project is to predict product failure for a transmission device based harware company. Machine Learning will enable proactive service to the client and also increase product quality. This approach is cost saving and time based preventive measure. This makes sure that tasks are performed only when warranted.
Dependencies include python libraries like
sklearn
matplotlib
pandas
seaborn
Classification models used
Decision Trees
Ramdom forest
Logistic Regression
SVM
Niave bayes