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This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
This notebook consists of the notebook file that consists of a supervised learning model built to classify the nature of the breast cancer cells based on the features.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow
This project aims to provide an all-in-one Jupyter notebook covering the entire pipeline for football player classification in Snowpark. From data ingestion to model inference.