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Data science book club

2nd March, 2025
Last date to join: 9th March, 2025
junaid

Hello everyone. I'm working through Data Science from Scratch by Joel Grus. It involves coding algorithms from scratch in Python. I sometimes get stuck or wonder if my solution is optimal. It’d be awesome to have a few people to compare code with and discuss the why behind it. We can pick a chapter, implement the exercises separately, then come together to review our approaches. Ideal for those who want to really understand data science fundamentals by coding them. I’m in GMT but very flexible on coordination.

Competent English,Hindi

Description

To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.

  • Get a crash course in Python
  • Learn the basics of linear algebra, statistics, and probability—and how and when they’re used in data science
  • Collect, explore, clean, munge, and manipulate data
  • Dive into the fundamentals of machine learning
  • Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering
  • Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Hosted By

Founder, Moocable

Data Science from Scratch, 2nd Edition

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Exclusively Paid

9h 18m

No Certificate

403 pages

Data science book club

2nd March, 2025
Last date to join: 9th March, 2025
Start Learning
Affiliate notice

Hello everyone. I'm working through Data Science from Scratch by Joel Grus. It involves coding algorithms from scratch in Python. I sometimes get stuck or wonder if my solution is optimal. It’d be awesome to have a few people to compare code with and discuss the why behind it. We can pick a chapter, implement the exercises separately, then come together to review our approaches. Ideal for those who want to really understand data science fundamentals by coding them. I’m in GMT but very flexible on coordination.

Competent English,Hindi

  • Type
  • Provider
  • Pricing
    Exclusively Paid
  • Duration
    9h 18m
  • Certificate
    No Certificate
  • Pages
    403 pages

To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.

  • Get a crash course in Python
  • Learn the basics of linear algebra, statistics, and probability—and how and when they’re used in data science
  • Collect, explore, clean, munge, and manipulate data
  • Dive into the fundamentals of machine learning
  • Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering
  • Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Hosted By

Founder, Moocable

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9th March, 2025