Build a Machine Learning Model with Python & ChatGPT – No Heavy Coding Needed!
In this beginner-friendly tutorial, you’ll learn how to *build a machine learning classification model* using *Python* — with the help of *ChatGPT* to simplify the process. Whether you're new to ML or just want to boost your workflow, this video walks you through **each essential step**, from preparing your data to evaluating model performance.
🚀 *What You’ll Learn:*
• How to *prepare and clean your dataset* for machine learning
• Performing *exploratory data analysis (EDA)* to understand key patterns
• Asking ChatGPT for *code snippets and organization tips* to streamline development
• Running a *classification model with n-fold cross-validation* for accurate evaluation
• Tips on interpreting results and improving model performance
🧠 This tutorial is great for:
Beginners exploring data science and ML
Developers who want to integrate ChatGPT into their workflow
Anyone who prefers *learning-by-doing* with practical examples
💡 By the end of this video, you'll be able to build and evaluate a working ML model, even with **minimal coding experience**!
🔔 Don’t forget to like, subscribe, and tap the bell for more AI + Python content from **ArkCoding**!
#MachineLearning #PythonML #ChatGPT #DataScience #ClassificationModel #MLBeginners #ArkCoding
Dataset : https://www.kaggle.com/datasets/krpur...
Jupyter notebook file : https://github.com/kristoradion/class...
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