Predicting Iris Flower Species with Machine Learning | Logistic Regression, SVM | project - 01
In this video, we explore how to predict the species of Iris flowers using various machine learning classification algorithms. We utilize the Iris dataset and implement Logistic Regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree, and Random Forest models. Join us as we dive into data preprocessing, model training, and evaluation, and achieve perfect classification accuracy with each model!
🔍 Topics Covered:
Introduction to Iris Dataset
Exploratory Data Analysis (EDA)
Data Preprocessing
Model Selection
Model Training and Evaluation
Performance Comparison
Conclusion and Key Takeaways
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