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#AI #ML #MLforBiologists #linearRegression #logisticRegression #trainingset #testset #SupervisedML #UnsupervisedML
🚀 Learned Logistic Regression today!
It uses z = wᵀx + b, where the transpose enables the dot product. The Sigmoid function converts z into a probability (0–1), making classification possible.
#MachineLearning #AI #LogisticRegression
Day 45
→Logistic Regression
Linear Regression predicts numbers.
Logistic Regression predicts DECISIONS.
Link:https://t.co/jDOP7rKdnl
Follow @AnkanXplorer for more.🔖
#LogisticRegression #ML #DataScience
Day 24 of #100DaysOfDataScience 📊
Started Diabetes Prediction using Logistic Regression 🩺
Data cleaning & preprocessing
Feature scaling
Model training & evaluation
Saved model using joblib
#DataScience #MachineLearning #Python #LogisticRegression #AI
Day 20 of #100DaysOfDataScience 📊
Built Complete Logistic Regression model on Titanic dataset 🚢
Model training & prediction
Saved & loaded model using joblib
Evaluated using accuracy & confusion matrix
#DataScience #MachineLearning #Python #LogisticRegression #AI
Day 19 of #100DaysOfDataScience 📊
Started Titanic Survival Prediction using Logistic Regression 🚢
Data preprocessing
Handled missing values
Preparing dataset for model
#DataScience #MachineLearning #Python #LogisticRegression
Watch how Logistic Regression transforms data into classification magic
#LogisticRegression #MachineLearning #AI #DataScience #DeepLearning #Maths #Statistics #DataAnalytics #ML #AICommunity #Tech #Coding #Python #MathVisualization #LearnAI #STEM #Education #Viral #Trending #Reels #Shorts
Read the full article: https://t.co/Y06EgxVz0p
#MachineLearning #DataScience #CreditRisk #MLCalibration #XGBoost #RandomForest #LogisticRegression #DataDriven
Take a look at our new OPEN ACCESS Journal of Marketing Analytics article: https://t.co/VC39mAPoON
#regression #linearregression #logisticregression #method #analysis #tutorial #SmartPLS #JMA
Built a Logistic Regression model on the Breast Cancer dataset
Model predicts whether a tumor is malignant or benign using probability scores.
Thanks to @iamihansari for your guidance.
Link 🔗 https://t.co/pFAzzYsPBL
#MachineLearning #LogisticRegression #AI
Day 58 — Logistic Regression finally clicked.
Perceptron trick → Sigmoid → MLE → Cross-Entropy → Gradient Descent.
Built it from scratch and understood the update rule.
GitHub: [https://t.co/VeW2i7Cvc9]
#MachineLearning #LogisticRegression #100DaysOfCode #AI #MLJourney
![TheRealDiwanshu's tweet photo. Day 58 — Logistic Regression finally clicked.
Perceptron trick → Sigmoid → MLE → Cross-Entropy → Gradient Descent.
Built it from scratch and understood the update rule.
GitHub: [https://t.co/VeW2i7Cvc9]
#MachineLearning #LogisticRegression #100DaysOfCode #AI #MLJourney https://t.co/9ZY29CvUzE](https://pbs.twimg.com/media/HB7XqZUaUAAExFp.png)
![TheRealDiwanshu's tweet photo. Day 58 — Logistic Regression finally clicked.
Perceptron trick → Sigmoid → MLE → Cross-Entropy → Gradient Descent.
Built it from scratch and understood the update rule.
GitHub: [https://t.co/VeW2i7Cvc9]
#MachineLearning #LogisticRegression #100DaysOfCode #AI #MLJourney https://t.co/9ZY29CvUzE](https://pbs.twimg.com/media/HB7XiAlbEAEWz1f.png)
![TheRealDiwanshu's tweet photo. Day 58 — Logistic Regression finally clicked.
Perceptron trick → Sigmoid → MLE → Cross-Entropy → Gradient Descent.
Built it from scratch and understood the update rule.
GitHub: [https://t.co/VeW2i7Cvc9]
#MachineLearning #LogisticRegression #100DaysOfCode #AI #MLJourney https://t.co/9ZY29CvUzE](https://pbs.twimg.com/media/HB7XKVPaIAAjUZ_.png)
![TheRealDiwanshu's tweet photo. Day 58 — Logistic Regression finally clicked.
Perceptron trick → Sigmoid → MLE → Cross-Entropy → Gradient Descent.
Built it from scratch and understood the update rule.
GitHub: [https://t.co/VeW2i7Cvc9]
#MachineLearning #LogisticRegression #100DaysOfCode #AI #MLJourney https://t.co/9ZY29CvUzE](https://pbs.twimg.com/media/HB7W_DoawAAQdfW.png)
Day 39/100 — Evaluating My Logistic Regression Model (Titanic Dataset)
Evaluated my model, I got:
Accuracy: 79%
Precision: 74%
Recall: 71%
Lesson learnt? Understanding mistakes (FN & FP) matters more than accuracy alone.
#100DaysOfDataScience #MachineLearning #LogisticRegression
From Binary Classification to Production: Mastering Logistic Regression with Regularization.
https://t.co/Yd06vPpksy
#MachineLearning #AI #Numpy #LogisticRegression #Python
Comparing the Min–Max–Median/IQR Approach with the Min–Max Approach, #LogisticRegression and #XGBoost, Maximising the Youden Index
✏️ Rocío Aznar-Gimeno et al.
🔗 https://t.co/lO6JYQ94b2
Viewed: 4138; Cited: 4
#mdpisymmetry #classification
@ITA_tecnologia
@unizar
Day 73 - #DataScience Journey:
-> Logistic Regression🧠
-> Crucial takeaway: It's a CLASSIFICATION algorithm, not regression.
-> The magic is the Sigmoid Function, which squashes any value into a probability between 0 and 1🚀
#MachineLearning #LogisticRegression #LearningJourney
Just built a logistic regression model to predict if a user will purchase a product after seeing an ad. By turning salary into binned categories, I was able to capture non-linear patterns and boost test accuracy from ~86% to ~95%
https://t.co/eekO4nDtEy
#LogisticRegression
Decision Boundaries karte karte mujhe meri boundaries dikh gayi 😃
#MachineLearning #DecisionBoundaries #NumPy #Pandas #Matplotlib #ScikitLearn #LogisticRegression
#statstab #405 Best Practices for Estimating, Interpreting, and
Presenting Nonlinear Interaction Effects
Thoughts: Guidance on nonlinear interactions, reporting (probabilities) and visualisations.
#probit #logit #logisticregression #nonlinear #guide
https://t.co/cAq6YsGRbB
Day 17 of my #100DaysChallenge 🚀
🔹 ML: Understood the maths behind #kNN, #SVM, #LogisticRegression, #DecisionTree, #NaiveBayes & #ConfusionMatrix in #SupervisedLearning 📊
🔹 DSA: Solved 1 hard + 1 medium #BS question. Next → #Strings 💻
🔹 Web Dev: Practiced #React basics⚛️
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