- 3 Ways to Help CMOs Increase Consumer Engagement and Drive Marketing PerformanceA Data Lens, personalized
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- Choosing the Right Tool for Your Next Data Science Web ApplicationFlask, Django, Streamlit: Three options for data scientists getting into web development.
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- 4 Essential Techniques You Must Learn as a Python BeginnerAnd how to use them so you can ace that next job interview with ease
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- Python Classes Made Easy: The Definitive Guide to Object-Oriented ProgrammingBoost your Python skills with this comprehensive class reference
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- Please Stop Drawing Neural Networks WrongThe Case for GOOD Diagrams
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- Mastering Modular Programming: How to Take Your Python Skills to the Next LevelBest Practices for Writing Modular Python Code
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- Make Your Tabular Data Stand Out via CLI With These Tips and TricksEnhance readability: tips for displaying datasets in the CLI
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- 8 Things You Must Consider Before Committing to a Data Science Master's DegreeHold fire with your Pinterest board: is going back to uni the right move for you?
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- 11 Useful Pandas Functionalities You Might Have OverlookedPart 3 of the series exploring the hidden gems of pandas
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- 4 Ways to Get the Most Out of Your Data Science DegreeHow I approached the balancing act of (1) enjoying my degree and (2) setting myself up for life after university in "the real world"
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- How to Upgrade Your Junior-Level Data Science Code to Senior-Level Data Science CodeYou did it. After years of hard work, you got hired as a junior data scientist. Your first few weeks flew by with company onboarding and before you realized it, a few years had passed. You worked on countless projects, both individually and as part of a t
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- Avoiding Burnout During a Career Change into Data ScienceNo, you don't need to know 27 coding languages and have 512 portfolio projects
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- 4 Important Statistical Ideas You Should Understand in a Data-Driven WorldThere is no use avoiding reality. Data science, and more broadly, data-driven structures, are at the center of the society we are currently building. When the computer science craze first hit in the early 2000s, many noted that computer science would beco
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- Four Common Mistakes When A/B Testing and How to Solve ThemA/B testing is like Jenga, a delicate balance of interconnected pieces that form the foundation of a successful experiment. Just like in the game of Jenga, where removing the wrong block can cause the entire tower to crumble, A/B testing relies on multipl
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- How I built a programming language: The (difficult) Path to SuccessFrankly, difficult is an understatement.
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- 3 Intelligent Ways to Use ChatGPT to Speed Up Your Next Data Science ProjectRather than considering ChatGPT a threat, view it as your personal assistant and mentor.
- 24254Murphy ≡ DeepGuide
- A Bayesian Comparison of School Leaver Outcomes with R and brmsMuch is made of what we want to do when we leave school. We get asked as young children what we want to do when we grow up, and then proceed to spend 13 years in pre-Tertiary education. In public policy, much is made around the differences between the Gov
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- A Primer on Foundational Concepts You Need to Start Running Statistical TestsQuantitative study design, significance testing, and different classes of statistical tests.
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- How does Socio-Educational Index Influence School Leaver Outcomes?ANCOVA - Bayesian Style
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- How to Use the T-Test and its Non-Parametric CounterpartDo you really understand this test you likely learned in high school?
- 24177Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag
