Explore tweets tagged as #logisticregression
@ChiragSoni23
Chirag soni
15 hours
🚀 Implemented Logistic Regression from scratch in JavaScript — no libraries, just pure math and logic!.🧠 Great hands-on learning experience to understand how ML models actually work under the hood. #ml #machinelearning @python #logisticregression @ChaiCodeHQ @Hiteshdotcom
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@BaghlaKrrish123
Krrish Baghla
12 days
Finally cracked Logistic Regression – from scratch and with scikit-learn along with the mathematics .Sigmoid? ✅.Loss function? ✅.Decision boundary? ✅.Feeling like a data wizard 🧙‍♂️.@OpenLearn_NITJ.#MachineLearning #LogisticRegression #100DaysOfML #AI #DataScience
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@anikchand461
Anik Chand
1 month
🚀 Day 95 of 100DaysOfCode 💻📚. Explored the 🔧 parameters of LogisticRegression in scikitLearn today!. 🔍 Dived into:. penalty 🛡️.C ⚖️.solver 🧠.max_iter ⏱️.regularization (L1/L2) 📉. Understanding how tuning affects model performance was 🔥
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@_krishna1122
knight
27 days
Day 2 of my summer fundamentals series:.Built Logistic Regression from scratch using just NumPy. No scikit-learn, no TensorFlow — just math, sigmoid functions, and gradient descent. Turning probabilities into predictions, one step at a time. #MLfromScratch #LogisticRegression
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@RemoteSens_MDPI
Remote Sensing MDPI
9 months
👉👉 Spatial Prediction of #Landslide Susceptibility Using #LogisticRegression (LR), #FunctionalTrees (FTs), and #RandomSubspaceFunctionalTrees (RSFTs) for Pengyang County, China. ✍️ Hui Shang et al. 📎
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@DSDecoded
Data Science Decoded
4 months
Logistic Regression From Scratch: Day 4. • Developed a Logistic Regression class from scratch that uses gradient descent for model training. • Integrated all previously created methods (sigmoid, calculate gradients, calculate log loss etc.) into the LogisticRegression class.
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@DSDecoded
Data Science Decoded
4 months
Logistic Regression From Scratch: Day 5. • Compared scratch-built logistic regression model against scikit-learn's LogisticRegression on the income prediction dataset (earnings >50K). • Scikit-learn's implementation yielded superior performance across accuracy, log loss, Brier
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@Hidden_Neuron_
HiddenNeuron
2 months
ML from Scratch — Day 17 (19/05).[~1.5 hrs]. - wrote logistic regression with the help of youtube videos.- read more theory and implemented basics from scratch. #ML #LogisticRegression #Python
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@tetsuro731
テッツォ@Data Scientist
4 months
独習Pythonという本に「子クラス名は親クラスより具体的に2語以上にすべし」(例:Personを継承したBusinessPerson)と書いてあるのだけど、他の文献でこれに言及してるの見たことないんだよな。よく使うライブラリでもLogisticRegressionがBaseEstimatorを継承してたりこの規則に従わないものが多い.
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@CognitiveClass
Cognitive Class
6 months
Data exploration = the foundation of every ML model!🛠️. #MachineLearning #DataScience #LogisticRegression #Python
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@Dr_Gh_Alkhadim
د.غادة الخادم Dr. Ghadah Alkhadim
6 months
في رفقه أنواع النماذج الاحصائية شائعة الاستخدام في علوم البيانات . #StatisticalModels #DataScience #MachineLearning #AI #LinearRegression #LogisticRegression #TimeSeries #SurvivalAnalysis #DecisionTree #NeuralNetworks #EnsembleLearning #MultivariateAnalysis
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@xxgraciass
xxgraciass
4 months
logistic regression intuition 🚌. #ai #ml #logisticregression
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@bryanmax92001
Bryan Tineo
9 months
🚀 #LogisticRegression: A binary classifier that predicts the probability of a class using an S-shaped curve (sigmoid). 🎯. Outputs range from 0 to 1:.If the probability ≥ 0.5, it's classified as 1; otherwise, 0. 📊. #MachineLearning #AI #DataScience
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@bryanmax92001
Bryan Tineo
9 months
🔍 The #SigmoidFunction in #LogisticRegression maps inputs to a 0-1 range with an S-shaped curve. 🌀. It converts model outputs into probabilities, classifying results as 1 (≥0.5) or 0 (<0.5). Ideal for binary classification! 📈. #MachineLearning #AI #DataScience
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@HWillert
Hans Willert
5 months
#LogisticRegression: A #Probabilistic Perspective by Reza Bagheri
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@arnie_hacker
Arnie Ramesh
1 year
Day 58/90. > Got MicroGrad working 🚀 Skimmed karpathy's version + refactored my code, I found the bug (forgot zero_grad()🤦🏾‍♂️). > Refactored scrappy ipynb into classes, added in LogisticRegression loss functions. > Downloaded hotdog dataset (gonna build Jian-Yang classifier lol)
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