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C CHARAN TEJA's Projects

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Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle

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This is a collection of the different Machine Learning and Deep Learning Projects undertaken by me. Some of these projects are part of the PGP AI-ML course from Great Lakes Institute of Management, to which I am currently enrolled to

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This repository is collection of my coding work done during my PG program in AI & ML

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An Introduction to Statistical Learning (ISL)" by James, Witten, Hastie and Tibshirani is the "how to'' manual for statistical learning. Inspired by "The Elements of Statistical Learning'' (Hastie, Tibshirani and Friedman), this book provides clear and intuitive guidance on how to implement cutting edge statistical and machine learning methods. ISL makes modern methods accessible to a wide audience without requiring a background in Statistics or Computer Science.

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Science des Données Saison 3: Apprentissage Automatique / Statistique pour l'Intelligence Artificielle

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:smirk: :page_facing_up: An awesome list of educational websites, YouTube playlists, channels and books about programming

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:memo: An awesome Data Science repository to learn and apply for real world problems.

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:mortar_board: Path to a free self-taught education in Computer Science!

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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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Python courses for the scientific researcher

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:bar_chart: Path to a free self-taught education in Data Science!

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