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Algorithm-recommender-and-regression-study-app

This app completly automate the process of of applying regression algorithms on diffrent dataset.

This application provides user a interface where he can upload the dataset which he want to analyse, after the processing user will a result in the form of dashboard where best algorithms with their result is shown.

This application is also a comprehensive regression study guide , where user can learn new machine learning algorithms

Technology Used:

1.Python – 3.7.2

2.Anaconda Navigator – 1.9.6

3.Jupyter Notebook – 5.7.4

4.FLASK

5.Bootstrap

Libraries Used:

1.Analyzing: Numpy, Pandas, Sci-kit Learn

2.Visualization: Matplotlib, Seaborn

Regressors Used :

1.Multiple Linear Regression

2.Random Forest Regression

3.Decision tree

4.Support Vector Machine

5.Lasso Regression.

6.Ridge Regression.

6.Elasticnet Regression.

7.Stepwise Regression.