1) www.kaggle.com
2) www.drivendata.org/
3) www.crowdanalytix.com/community
4) competitions.codalab.org/
5) zindi.africa/competitions/
6) https://www.aicrowd.com/
7) www.machinehack.com/course-cat/modeling/
8) www.hackerearth.com/challenges/
9) datahack.analyticsvidhya.com/contest/all/
10) www.tableau.com/iron-viz
11) www.topcoder.com/challenges
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2) www.drivendata.org/
3) www.crowdanalytix.com/community
4) competitions.codalab.org/
5) zindi.africa/competitions/
6) https://www.aicrowd.com/
7) www.machinehack.com/course-cat/modeling/
8) www.hackerearth.com/challenges/
9) datahack.analyticsvidhya.com/contest/all/
10) www.tableau.com/iron-viz
11) www.topcoder.com/challenges
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Data Science Foundations: Fundamentals
3h 41m Beginner
Get a basic introduction to the careers, tools, and techniques of modern data science.
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3h 41m Beginner
Get a basic introduction to the careers, tools, and techniques of modern data science.
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In the first half of the book, youll learn basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. Youll also learn how to make your programs interactive and test your code safely before adding it to a project. In the second half, youll put your new knowledge into practice with three substantial projects: a Space Invadersinspired arcade game, a set of data visualizations with Pythons handy libraries, and a simple web app you can deploy online.
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This ebook introduces you to popular deep learning algorithmsfrom basic to advancedand shows you how to implement them from scratch using TensorFlow. From this ebook, you will gain insights into each algorithm, the mathematical principles behind it, and how to implement it in the best possible manner.
Pages : 498
Link : https://bit.ly/3cx1g7e
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Pages : 498
Link : https://bit.ly/3cx1g7e
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A high-level overview of the essential skill sets of a Data Scientist is provided in the following infographic.
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If you are familiar with Jupyter notebook and want to learn how to use its capabilities to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter.
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