
Abdullah Shaikh
@AbdullahSh53393
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Day 6/7 of my ML Journey . ✅ Logistic Regression.✅ Confusion Matrix, Precision, Recall.✅ ROC Curve + AUC.✅ Naive Bayes.✅ KNN.✅ Hands-on implementation. #MachineLearning #MLJourney.
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Day 4 of my 7-Day ML Series . 🔹 Ridge Regression – Uses L2 penalty to shrink weights & reduce overfitting.🔹 Lasso Regression – Uses L1 penalty to shrink some weights to 0 (feature selection). Both improve model performance & generalization .#MachineLearning #DataScience #ML.
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Day 3 of my ML Build-in-Public Challenge 🔥. Stats: population vs sample, sampling techniques & variables, with real-life examples + quiz. Also revised Linear Regression & built a mini project 👇.🔗 #100DaysOfML #DataScience #MachineLearning.
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Contribute to Abdullah-Shaikh45/Mini-ML development by creating an account on GitHub.
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Day 2 of my ML Build-in-Public Challenge ✨. Today I learned Linear Regression, how does it work, when to use it, cost function, gradient descent, R² and built a mini project to apply it!.#BuildInPublic #MachineLearning #MLChallenge #AI.
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Starting my 7-Day ML Build-in-Public Challenge. Today I’m connecting with other AI/ML enthusiasts to learn and grow together. Drop your LinkedIn or GitHub or any other social platform let’s connect and build. #MachineLearning #BuildInPublic #AI #MLChallenge #DataScience.
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RT @DevSabdullah: My friend was getting some data fetching issue, but eventually fixed it a few minutes later and asked him how he fixed it….
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