Iris-Dataset-Analysis

Goal : To Predict the species of the iris flower.

In this project, use machine learning technique to recognize various species by using the four features from the data set. The dataset containing, total 150 records & from that 50 each species. This data was extracted from Kaggle to classify various species.

Technique - Pandas, Seaborn, Matplotlib, NumPy, Sciketlearn etc

Algorithm : Logistic Regression, KNeighborsClassifier, DecisionTreeClassifier, Keras, RandomForestClassifier.