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Thiru | AI & ML Engineer on Instagram: "Comment the usecase to build ML Model from scratch - Follow to learn Core AI . . Machine Learning, Deep Learning, ML Models , AI . . #aiforall #machinelearing #mlmodels #datascience #aiprojects"
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Thiru | AI & ML Engineer on Instagram: "Comment 'EDA' to get step by step guide. Exploratory Data Analysis. . . . Machine Learning, EDA, Data Analysis, Data Manipulation, ML Models . . #mlmodels #eda #dataanalytics #machinelearning #datascience"
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Thiru | AI & ML Engineer on Instagram: "Comment 'EDA' to get step by step guide. Exploratory Data Analysis. . . . Machine Learning, EDA, Data Analysis, Data Manipulation, ML Models . . #mlmodels #eda #dataanalytics #machinelearning #datascience"
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Data Science | ML | AI Community 👩‍🏫 on Instagram: "📍Day 40: Most Common Machine Learning Algorithms Cheatsheet. Share this reel and send a screenshot, we will DM the PDF version for FREE👇 1. Linear regression: Linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory variables (regressor or independent variable). 2. Logistic regression: Logistic regression is a classification algorithm utilized for probability pre
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Data Science | ML | AI Community 👩‍🏫 on Instagram: "📍Day 40: Most Common Machine Learning Algorithms Cheatsheet. Share this reel and send a screenshot, we will DM the PDF version for FREE👇 1. Linear regression: Linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory variables (regressor or independent variable). 2. Logistic regression: Logistic regression is a classification algorithm utilized for probability pre
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LEVEL 0: The Journey Begins 🚀 Two months. No coding experience. And I’m building a machine-learning algorithm from scratch. 🤯 Step 1️⃣: Learn Python. Step 2️⃣: Train my first ML model (aka enter the maze 🌀). Step 3️⃣: Actually understand how AI works. Follow along as I document every win, fail, and breakthrough. Let’s build this thing together! 💻🔥 🚀 Want to stay ahead? Join the Lifelong Algorithms waitlist to get exclusive updates on my journey & insights into mastering AI! 🔗https://frien
LEVEL 0: The Journey Begins 🚀 Two months. No coding experience. And I’m building a machine-learning algorithm from scratch. 🤯 Step 1️⃣: Learn Python. Step 2️⃣: Train my first ML model (aka enter the maze 🌀). Step 3️⃣: Actually understand how AI works. Follow along as I document every win, fail, and breakthrough. Let’s build this thing together! 💻🔥 🚀 Want to stay ahead? Join the Lifelong Algorithms waitlist to get exclusive updates on my journey & insights into mastering AI! 🔗https://frien
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AI • Machine Learning • Tech on Instagram: "In 2021, Adam Dhalla, a passionate high school student from Vancouver, Canada, recorded an impressive five‑hour lecture series on mathematics for neural networks and deep learning. His video, titled “The Complete Mathematics of Neural Networks and Deep Learning” covered everything from matrix calculus to cost-function gradients with full backpropagation. He accompanied the video with organized timestamps, a long syllabus and good production quality, sh
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MichaeL | Teaching myself ML on Instagram: "What is this simple yet effective machine learning algorithm? ⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️ —-——-——-——-——-——-——-——-— **Study Group Info** Want to master Machine Learning? ➡️Comment “Study” to join my exclusive study group** —-——-——-——-——-——-——-——-— ⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️ —- ⏳ 1 H —- #math #ml #ai #machinelearning #artificialintelligence #DataScience #computerscience #quant #quantumcomputing"
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AI in 1min on Instagram: "Data science interview question: Logistic Regression? Logistic regression is a machine learning algorithm used for classification tasks, particularly when the outcome we want to predict falls into binary or categorical categories. For example, consider predicting whether a student will pass or fail an exam based on the number of hours they study. Logistic regression uses a mathematical model called the logistic or sigmoid function. This function maps the relationship be
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