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Principal Component Analysis

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An overview of Machine Learning model training

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Day 4 of 100: Data Science Workflow!


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Platforms to learn Data Science 🔥

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Day 5 of 100: Applications of Data Science!


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Machine Learning Cheatsheet 🔥

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Day 6 of 100: Introduction to Machine learning!


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Day 7 of 100: Machine learning vs Traditional Programming


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Day 8 of 100: Data Science Tools and technology


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Day 9 of 100: Different Data Science Roles


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Data Science Roles and how they interact

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@Artificial_intelligence_ai

Multimodal contrastive learning for spatial gene expression prediction using histology images

🖥 Github: https://github.com/modelscope/data-juicer

📕 Paper: https://arxiv.org/abs/2407.08583v1

🚀 Dataset: https://paperswithcode.com/dataset/coco

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

Telegram: https://t.me/Artificial_intelligence_AI

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How to Choose a right graph for Data Visualization

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Day 10 of 100: Daily Tasks of a Data Scientist!


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K-Means Clustering Algorithm

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Save this for Future Reference!!

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Day 11 of 100: Basics of Python, Syntax and Data Types!


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Spectrum of Data Science

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Day 12 of 100: Data Manipulation with Pandas


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Day 13 of 100: Numpy for Data Science


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