Designed and developed end-to-end model on automating machine learning algorithms with Streamlit. Both classification and regression algorithms are used. Some of the basic EDA’s are also automated in the project.
Skills: Python, EDA, Viusualization, Streamlit, Logistic regression, Naive Bayes, Stochastic gradient descent, KNN, Decision tree, Random forest, SVM, Gradient boosting, XGboost, Linear regression, Lasso,