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.