Chasing Genius

In this article we are going to visualize and predict the fish species using various illustrations and python libraries. We have downloaded  the dataset for this particular web app  from kaggle.com. This web app is built with python streamlit library. We have also included exploratory data analysis and data visualization. The dataset has seven columns namely Species, Weight, Length1, Length2, Lenght3, Height, Width of the fish. In this Machine learning web app we are predicting the fish Species based on other six attributes. This dataset include seven most common fish species namely Bream, Perch, Pike, Whitefish, Roach, Smelt, Parkki. We have trained our machine learning model using this data to predict the fish species on the new data. On the home page of the app user needs to enter all the input attributes and click on predict button to find out the fish species. The result obtained is the image of fish species and the type of species.  User can navigate to Home, E...