HarshCasper/Brihaspati
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
This collection provides practical examples of various machine learning algorithms applied to real-world datasets. It shows how to take raw data, such as customer reviews, medical images, or sales figures, and use different techniques to make predictions or extract insights. Data scientists, machine learning engineers, and researchers can use these notebooks as educational resources or starting points for their own projects.
No commits in the last 6 months.
Use this if you are learning machine learning, need to see concrete algorithm implementations, or want examples of applying models to diverse datasets.
Not ideal if you are looking for a ready-to-use, production-grade application or a specific machine learning library for immediate deployment.
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Jupyter Notebook
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Last pushed
Feb 26, 2022
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