Machine Learning Algorithm Recommendation System

There has been a significant increase in interest and growth in industrial machine learning applications recently. As a result, demand for experienced machine learning engineers is increasing. Increasing the efficiency of machine learning engineers, on the other hand, remains a major challenge. Machine learning algorithm recommendation system is a library that automates repetitive tasks in machine learning pipelines such as data preprocessing, feature engineering, model selection, hyperparameter optimization, and prediction result analysis. By recommending different algorithms and providing the best model, we created a library that automates repetitive tasks and improves the overall efficiency of engineers. We tested the algorithms on many various datasets to study their performance and compare their pros and cons.