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Jayen Thakker | Data Analytics Mentor on Instagram: ""How much statistics do I need to know to be a Data Analyst?" This is one of the most frequent questions I receive from aspiring Data Analysts looking to step up their #skills. Here’s my take on the essential #statistics concepts that every Data Analyst should be comfortable with: 1/ #Descriptive Statistics & Distributions ↳ Mean, median, and mode ↳ Variance and standard deviation ↳ Understanding Normal, Binomial, and Poisson distributions 2/
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Understanding Divstyles in Haircuts: A Linear Approach
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Excel Basics - Linear Regression - Finding Slope & Y Intercept
Excel Basics - Linear Regression - Finding Slope & Y Intercept
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Ashtain Fallon Rothchild | Fitness Trainer on Instagram: "New Skill achieved for Agapi! 藍 #mom #life #sleep #regression #skills #agapi #parenthood"
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Prashant Kumar on Instagram: "🚀 Top AI Algorithms & Their Real-World Use Cases Artificial Intelligence is transforming the world we live in. From predicting stock prices to powering chatbots, self-driving cars, and facial recognition — AI algorithms are the building blocks behind today’s smartest technologies. In this video, you’ll discover the top AI algorithms and how they are applied in real-world scenarios: ✅ Linear & Logistic Regression ✅ Decision Trees & Random Forests ✅ Neural Networks &
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Maya Bayal on Instagram: "Over the past two years, I’ve interviewed for Data Science and Machine Learning roles at over 100 companies, including Google, Qualcomm, MasterCard, Meesho, EY, Barclays, Aditya Birla, LG Soft, Couture AI, Deloitte, and many others—some I don’t even recall by name. Across all these interviews, one theme remained consistent: a strong emphasis on mathematical and statistical fundamentals over hands-on experience with LLMs. Here’s what I encountered: Classical Machine Lear
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