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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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Makedo on Instagram: "This is how we roll! 😎 The Fold-Roller enables precise, controlled manipulation of cardboard. From simple linear folds to complex organic contours, discover your inner artist with this advanced cardboard construction tool. 👇 Hit save to add our tools to your wish list! #cardboard #foldroller #mymakedo #makedo #diy #fold #toy #openended #present #gift #bestgift #kidstoys #craftstagram #cool #explore #cooltoys #kidsgifts #makedo"
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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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Holo Taco💿🌮 on Instagram: "This bottle is about to become your most Precious Cargo 🧳 this limited edition hybrid multichrome & linear holographic formula absolutely slaps in all lighting✨ #holotaco #holotacobonvoyage #preciouscargo 💿🌮"
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AI • Machine Learning • Tech on Instagram: "Linear regression is a simple yet powerful statistical method used to understand the relationship between two variables. It involves finding the best-fitting straight line through a set of data points. This line, called the regression line, is used to predict the value of one variable based on the value of another. For example, if you’re looking at the relationship between hours studied and test scores, linear regression can help predict test scores ba
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