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| Title & Speakers | Event |
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The Pandas Workshop
2022-06-17
The Pandas Workshop offers a detailed journey into the world of data analysis using Python and the pandas library. Throughout the book, you'll build skills in accessing, transforming, visualizing, and modeling data, all while focusing on real-world data science challenges. You will gain the knowledge and confidence needed to dissect and derive insights from complex datasets. What this Book will help me do Understand how to access and load data from various formats including databases and web-based sources. Manipulate and transform data for analysis using efficient pandas techniques. Create insightful visualizations using Matplotlib integrated with pandas for clearer data presentation. Build predictive and descriptive data models and glean data-driven insights. Handle and analyze time-series data to uncover trends and seasonal effects in data patterns. Author(s) Blaine Bateman, Saikat Basak, Thomas Joseph, and William So collectively bring diverse expertise in data analysis, programming, and teaching. Their goal is to make cutting-edge data science techniques accessible through clear explanations and practical exercises, helping learners from varied backgrounds master the pandas library. Who is it for? This book is best suited for novice to intermediate programmers and data enthusiasts who are already familiar with Python but are new to the pandas library. Ideal readers are those interested in honing their skills in data analysis and visualization, as well as leveraging data for informed decision-making. Whether you're an analyst, aspiring data scientist, or business professional seeking to strengthen your analytical toolkit, this book provides beneficial insights and techniques. |
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The Data Science Workshop
2020-01-29
Tiffany Ford
– author
,
Anthony So
– author
,
Pritesh Tiwari
– author
,
Thomas Joseph
– author
,
Andrew Worsley
– author
,
Ivan Liu
– author
,
Dr. Samuel Asare
– author
,
Robert Thas John
– author
,
Barbora stetinova
– author
The Data Science Workshop is designed for beginners looking to step into the rigorous yet rewarding world of data science. By leveraging a hands-on approach, this book demystifies key concepts and guides you gently into creating practical machine learning models with Python. What this Book will help me do Understand supervised and unsupervised learning and their applications. Gain hands-on experience with Python libraries like scikit-learn and pandas for data manipulation. Learn practical use cases of machine learning techniques such as regression and clustering. Discover techniques to ensure robustness in machine learning with hyperparameter tuning and ensembling. Develop efficiency in feature engineering with automated tools to accelerate workflows. Author(s) Anthony So None, Thomas Joseph, Robert Thas John, and Andrew Worsley are seasoned experts in data science and Python programming. Along with Dr. Samuel Asare None, they bring decades of experience and practical knowledge to this book, delivering an engaging and approachable learning experience. Who is it for? This book is targeted toward individuals who are beginners in data science and are eager to acquire foundational knowledge and practical skills. It appeals to those who prefer a structured, hands-on approach to learning, possibly having some prior programming experience or interest in Python. Professionals aspiring to pivot into data-oriented roles or students aiming to strengthen their understanding of data science concepts will find this book particularly valuable. If you're looking to gain confidence in implementing data science projects and solving real-world problems, this text is for you. |
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The Hunt for Vulcan
2015-12-04 · 08:00
Kyle Polich
– host
,
Thomas Levenson
– Professor at MIT and head of the science writing program
@ MIT
Early astronomers could see several of the planets with the naked eye. The invention of the telescope allowed for further understanding of our solar system. The work of Isaac Newton allowed later scientists to accurately predict Neptune, which was later observationally confirmed exactly where predicted. It seemed only natural that a similar unknown body might explain anomalies in the orbit of Mercury, and thus began the search for the hypothesized planet Vulcan. Thomas Levenson's book "The Hunt for Vulcan" is a narrative of the key scientific minds involved in the search and eventual refutation of an unobserved planet between Mercury and the sun. Thomas joins me in this episode to discuss his book and the fascinating story of the quest to find this planet. During the discussion, we mention one of the contributions made by Urbain-Jean-Joseph Le Verrier which involved some complex calculations which enabled him to predict where to find the planet that would eventually be called Neptune. The calculus behind this work is difficult, and some of that work is demonstrated in a Jupyter notebook I recently discovered from Paulo Marques titled The-Body Problem. Thomas Levenson is a professor at MIT and head of its science writing program. He is the author of several books, including Einstein in Berlin and Newton and the Counterfeiter: The Unknown Detective Career of the World’s Greatest Scientist. He has also made ten feature-length documentaries (including a two-hour Nova program on Einstein) for which he has won numerous awards. In his most recent book "The Hunt for Vulcan", explores the century spanning quest to explain the movement of the cosmos via theory and the role the hypothesized planet Vulcan played in the story. Follow Thomas on twitter @tomlevenson and check out his blog athttps://inversesquare.wordpress.com/. Pick up your copy of The Hunt for Vulcan at your local bookstore, preferred book buying place, or at the Penguin Random House site. |
Data Skeptic |