Machine learning Models O/P Comparative App Development

ML Models O/P Comparative App Development

Selecting the best machine learning algorithm is one of the difficult task- first one has to import all libraries, tune their parameters, then check the model performance using different objectives, This process usually takes a lot of computational power and say the least a lot of time performing those tasks. To bring efficiency into this process, one can use LAZYPREDICT library.

What is Lazy Predict?

It is one of the best python libraries to help semi-automate the machine learning task. It builds a lot of basic models without much coding and helps understand which models will work better without parameter tuning. It provides lazy classifier to solve classification problem and lazy regressor to solve the regression problem

Let's suppose for a problem statement, one really need to apply various models on that particular dataset and further analyze how the model will perform. With application of lazy predict into the dataset, one can get various accuracy and then further choose the top performing models and then apply hyperparameter tuning 

Project Scope- 

The scope of the project is to create a web application whereby users can upload the data and without much difficulty process the data and get the results from various ML models and then further select those ML models to train them or tune the parameters for better accuracy. 

Web App Demo Video: