Forwarded from Python | Machine Learning | Coding | R
#Python #DataScience #Statistics #MachineLearning #DataAnalysis #JupyterNotebooks #OpenSource #LearnToCode #DataVisualization #FreeBook
- Hands-On Learning: Transform raw data into insights using Python. Perfect for coders who want to dive into stats without drowning in formulas!
- Real-World Case Studies: Analyze datasets from the National Institutes of Health and more. Learn by doing, not just theorizing!
- Jupyter Notebooks Included: Every chapter comes with interactive notebooks—run code, tweak examples, and solve exercises seamlessly. Ideal for Colab or local setups!
- Cutting-Edge Topics: Explore regression, time series analysis, survival analysis, and Bayesian methods. Level up your data science toolkit!
- Free & Open Source: Licensed under Creative Commons (CC BY-NC-SA). Download the PDF, fork the GitHub repo, and start learning today!
- Python devs eager to add stats/data skills.
- Data enthusiasts craving practical, code-driven analysis.
- Educators seeking a modern, interactive stats resource.
https://allendowney.github.io/ThinkStats/
#DataDriven #CodeFirst #StatsInPython #FreeLearning — Turn data into wisdom, one line of Python at a time!
https://yangx.top/CodeProgrammer
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Forwarded from Python | Machine Learning | Coding | R
Top 100+ questions%0A %22Google Data Science Interview%22.pdf
16.7 MB
Google is known for its rigorous data science interview process, which typically follows a hybrid format. Candidates are expected to demonstrate strong programming skills, solid knowledge in statistics and machine learning, and a keen ability to approach problems from a product-oriented perspective.
To succeed, one must be proficient in several critical areas: statistics and probability, SQL and Python programming, product sense, and case study-based analytics.
This curated list features over 100 of the most commonly asked and important questions in Google data science interviews. It serves as a comprehensive resource to help candidates prepare effectively and confidently for the challenge ahead.
#DataScience #GoogleInterview #InterviewPrep #MachineLearning #SQL #Statistics #ProductAnalytics #Python #CareerGrowth
https://yangx.top/addlist/0f6vfFbEMdAwODBk
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@CodeProgrammer Matplotlib.pdf
4.3 MB
The Complete Visual Guide for Data Enthusiasts
Matplotlib is a powerful Python library for data visualization, essential not only for acing job interviews but also for building a solid foundation in analytical thinking and data storytelling.
This step-by-step tutorial guide walks learners through everything from the basics to advanced techniques in Matplotlib. It also includes a curated collection of the most frequently asked Matplotlib-related interview questions, making it an ideal resource for both beginners and experienced professionals.
#Matplotlib #DataVisualization #Python #DataScience #InterviewPrep #Analytics #TechCareer #LearnToCode
https://yangx.top/addlist/0f6vfFbEMdAwODBk
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