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This repository is a curated collection of valuable resources, tools, and tutorials for anyone passionate about the exciting field of data science. Whether you're an aspiring data scientist or an experienced practitioner, you'll find a wealth of information here to enhance your knowledge and skills.
6 Ιαν 2022 · It has data science python notebooks for Deep learning libraries and frameworks (TensorFlow, Theano, Caffe, Keras), scikit-learn, big data notebooks on Spark, Hadoop MapReduce, HDFS, data visualization notebooks on matplotlib, and data transformation notebooks on pandas, NumPy, SciPy.
Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources. Dive in, to discover insights and techniques in data science. Reach out for collaborations and feedback.
An open-source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?" Sponsors. Table of Contents. What is Data Science? Where do I Start?
10 Ιουν 2022 · This repository is all about an opportunity for those people who want to complete the Data Science Undergraduate curriculum on their own time, for free, with courses from some of the best...
3 ημέρες πριν · Calls to make scientific research more open have gained traction with a range of societal stakeholders. Open Science practices include but are not limited to the early sharing of results via preprints and openly sharing outputs such as data and code to make research more reproducible and extensible. Existing evidence shows that adopting Open Science practices has effects in several domains. In ...
10 Ιουλ 2023 · Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. In simpler terms, data science is about obtaining, processing, and analyzing data to gain insights for many purposes.
