Trends in Data Science! 2.Data driven customer experience

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Trends in Data Science! 3.Auto ML

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The Brain of a Data Analyst

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🖼 AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning


🖥 Github: https://github.com/guoyww/animatediff/

💻 Colab: https://colab.research.google.com/github/camenduru/AnimateDiff-colab/blob/main/AnimateDiff_colab.ipynb

📚 Paper: https://arxiv.org/abs/2307.04725

📁 Project: https://animatediff.github.io/

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Data Structures in Python

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AI Engineer Roadmap 🙌

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Trends in Data Science! 4.Hyper-automation

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Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

🖥 Github: https://github.com/kaistai/prometheus-vision

📕 Paper: https://arxiv.org/abs/2401.06591v1

🔥Datasets: https://paperswithcode.com/dataset/ok-vqa

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How to learn Data Science in 2024 ? if I start again, Roadmap - Basics to Advance
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Trends in Data Science! 5.Data as a Service

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What is Generative Adversarial Networks (GANS)?

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Machine Learning Tools 🔥

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Data Science Lifecycle 🔥

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🖼 ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation


🖥 GitHub: https://github.com/bytedance/ImageDream

📚 Paper: https://arxiv.org/abs/2312.02201

🥩 Demo: https://github.com/bytedance/ImageDream/blob/main

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SQL projects for Data Analyst Resume

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Applications by GANS! 1.Image generation

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