Terminal Dev @runtimevibes

🔍 Took a closer look at the Sigmoid function today: ✨ Key insights: When z → +∞, sigmoid → 1 When z → -∞, sigmoid → 0 At z = 0, sigmoid = 0.5 (the decision boundary) #MachineLearning #LogisticRegression #BuildInPublic

📊 Just built a Linear Regression model from scratch in Python! ✅ Predicted admission chances based on exam scores 🎓 ✅ Implemented gradient descent + cost function visualization Great to see math → code → real insights 🔥 #MachineLearning #Python #BuildInPublic

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📊 Today I learned about the problem of Overfitting in ML. 1) Underfit (High Bias): Model too simple, misses patterns 2) Overfit (High Variance): Model too complex, memorizes noise 3) Just Right: Good balance → best generalization 🚀 #MachineLearning #100DaysOfML

📚 Today I explored Logistic Regression — from hypothesis function to the log loss function. Loved seeing how it shifts from squared error to cross-entropy for better optimization ! #MachineLearning #LogisticRegression #DataScience #100DaysOfML

📘 Just learned about Classification in Machine Learning 🚀 Unlike regression (predicting continuous values), classification helps us categorize data — e.g., 🔹 Email → Spam or Not Spam 🔹 Image → Cat 🐱 or Dog 🐶 Lets connect ! #MachineLearning #DataScience #BuildInPublic

📊 Today I explored Polynomial Regression 1) Extends linear regression by adding polynomial features (x², x³ …) 2) Helps capture non-linear relationships in data 🔄 Another tool unlocked in the ML journey 🚀 #MachineLearning #BuildInPublic #100DaysOfCode

📊 Today I dived into Linear Regression with multiple features 🚀 1) Learned how to handle multiple inputs using vectors 2) Explored how gradient descent reduces the loss step by step Feels amazing to see the math ! #MachineLearning #BuildInPublic #100DaysOfCode

📈 Just wrapped up Linear Regression – my first ML algorithm ✅ Learned how models fit data, calculate loss & optimize with gradient descent 🚀 Super pumped to learn new and exciting things from here ! 💡 #MachineLearning #BuildInPublic #100DaysOfCode

What are the best resources / courses to get started with ML (hands-on + theory)? Would love your recommendations 🙌

📊 Just wrapped up exploring Pandas – and applied it to the Titanic dataset for cleaning & preprocessing! 🚢✨ Crazy how powerful Pandas is for data wrangling 🤯 Next stop ➝ deeper EDA & ML models 🚀 #Pandas #Python #DataScience #MachineLearning #100DaysOfCode #AI

✅ Wrapped up my NumPy deep dive today – covered arrays, slicing, broadcasting & even some linear algebra! 💻🔥 Always open to tips/resources to go deeper 🙌 Let’s keep pushing forward together 💡

💻 Just brushed up my Python & now diving into NumPy – super excited to explore arrays, vectorization & all the ML magic 🔥 Any tips on how I can move more efficiently would be super helpful 🙌 Let’s connect & grow together 🚀 #Python #NumPy #MachineLearning #AI #DataScience

🔥 Just read about Adam Optimization — combines the best of Momentum + RMSProp 🤯 Super excited to brush up my Python 🐍 and dive into ML algorithms soon! 🚀 Let’s gooo 💪✨ #AI #ML #DeepLearning #Python

Just learned how to implement momentum based gradient descent 🚀. #MachineLearning #AI #DeepLearning

Just learned about Stochastic Gradient Descent (SGD) 🤯 It’s crazy how instead of calculating gradients on the entire dataset, it updates weights using just one (or few) samples at a time! 🔥 ⚡ Faster, Handles huge datasets #AI #ML #DeepLearning

Wrapped up Eigenvalues & Eigenvectors today 🔥 Feels wild to finally understand how they power so many ML concepts. Almost at the end of my Linear Algebra journey — let’s go! 🚀 #MathForML #MachineLearning #LinearAlgebra #BuildInPublic #LearnInPublic #AI #MLCommunity

Studied matrix dot product today and… wow 🤯 Linear algebra isn’t just theory — it’s geometry in disguise. Anyone else find this stuff as mind-blowing as I do? #MathForML #LinearAlgebra #MachineLearning #AI #BuildInPublic #LearnInPublic #MLCommunity

Quick question for folks into #AI and #MachineLearning #tech 🧐 I’ve started learning math (linear algebra, etc.) for ML, but I’m still trying to see how it actually connects to real algorithms. Is math really that essential for building models? Curious to hear your thoughts!

Hey folks! 👋 Anyone here into AI / ML / Math for ML? Would love to connect, share resources, and learn together 🤝 Let’s build in public and help each other grow 🚀 #AI #MachineLearning #MLCommunity #AICommunity #MathForML #BuildInPublic #100DaysOfML #100DaysOfCode

Got deep into #MathForML today 🧠 🔸 Linear transformations (2D & 3D) 🔸 Determinants So curious to “see” how math powers AI. #BuildInPublic #MachineLearning #AI #100DaysOfCode #MLJourney #SoftwareEngineering #LearnInPublic