End-to-End Machine Learning Project: Predicting Breast Cancer (Scikit-Learn Series #2) скачать в хорошем качестве

End-to-End Machine Learning Project: Predicting Breast Cancer (Scikit-Learn Series #2)

This is the second video in our Scikit-Learn series. In this practical walkthrough, we build a machine learning model to classify breast tumors as malignant or benign using clinical data. Topics covered in this video: Defining the breast cancer classification problem Exploring and visualizing clinical tumor data Preparing data: scaling and train-test splits Model training and comparison with cross-validation Hyperparameter tuning and final evaluation 💻 Code & Resources: Colab Notebook → https://github.com/OscarW99/applied-m... Wisconsin Breast Cancer Dataset → https://www.kaggle.com/datasets/uciml... 🚀 Want to Learn Python First? Master Python for Bioinformatics in the AI Era → https://pythonforbioinformatics.my.ca... 💻 Start coding & future-proof your science career today! 🧬 𝗡𝗲𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝘁 𝗕𝗶𝗼𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀 𝗦𝘂𝗽𝗽𝗼𝗿𝘁? I offer consulting, project support, and workflow optimization for research groups and biotech teams. 👉 Book a consultation at: https://oggyinformatics.com/ 🔗 Connect With Me: 📸 Instagram →   / oggyinformatics   💼 LinkedIn →   / oscar-wright-0969bb157   #Bioinformatics #AI #MachineLearning #Genomics #Science #datascience #scikitlearn