Iris Flower Classification using Decision Tree Algorithm

Welcome to my YouTube channel! In this video, I will be showcasing my data science internship project from The Sparks Foundation. The project focuses on the classification of iris flowers using the powerful decision tree algorithm.

Throughout this project, I have utilized various Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn to manipulate, visualize, and analyze the data. By employing these libraries, I was able to preprocess the dataset, handle missing values, normalize the data, and split it into training and testing sets.

To gain insights into the dataset, I performed exploratory data analysis using scatter plots, heatmaps, and pair plots. These visualizations allowed me to understand the relationships between different attributes and the target variable.

Next, I implemented the decision tree algorithm and fine-tuned its hyperparameters to optimize the model's performance. The trained decision tree model was able to effectively classify iris flowers based on attributes such as sepal length, sepal width, petal length, and petal width.

One of the highlights of this project is the graphical visualization of the decision tree classifier. By creating a decision tree graph, I was able to illustrate the decision-making process of the trained model, making it easier to comprehend.

The ultimate goal of this project is to create a classifier that can predict the correct class for new, unseen data. The decision tree classifier developed in this project achieves that objective.

Throughout the video, I have used various techniques and tools such as numpy, pandas, matplotlib, seaborn, decision tree classifier, sklearn metrics, created tuning parameters, heatmaps, scatter plots, and pair plots.

I am excited to share this project with you and hope it provides you with valuable insights into the world of data science and classification algorithms. Don't forget to like, comment, and subscribe to my channel for more exciting content. Thank you for watching, and let's dive into the fascinating world of iris flower classification using the decision tree algorithm!

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