Learned how to use data visualization using python!

What it does

Uses statistical methods to estimate the accuracy of the models of the provided dataset

How I built it

Using python and libraries such as scipy, numpy, matplotlib, pandas ,scikit-learn

Challenges I ran into

Configuring the libraries and updating because some of the libraries could not be uninstalled due to the being deprecated

Accomplishments that I'm proud of

Visualizing unseen data and using computers to predict the future data

What I learned

How to use the following algorithms to predict the best model for the given dataset

Logistic Regression (LR) Linear Discriminant Analysis (LDA) K-Nearest Neighbors (KNN). Classification and Regression Trees (CART). Gaussian Naive Bayes (NB). Support Vector Machines (SVM).

What's next for Iris Submission

Using different datasets to predict results to even greater problems.

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