Introduction to Classification & Logistic Regression | Complete Machine Learning Course 2025 -Day 10

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Gain a comprehensive understanding of classification in machine learning, with an emphasis on Logistic Regression—a foundational algorithm for predicting categorical outcomes. This session covers the theoretical underpinnings, including the logistic function and decision boundary, and explores its practical applications in domains like healthcare, finance, and marketing. Learn how to implement Logistic Regression using Python, evaluate model performance, and address challenges such as overfitting. Equip yourself with the skills to effectively classify data and interpret results for impactful decision-making.

#classification #logisticregression #machinelearningbasics #supervisedlearning #datascience #predictivemodeling #pythonimplementation #modelevaluation #sigmoidfunction #decisionboundary #categoricalprediction #realworldapplications #overfittingsolutions #mlalgorithms #dataanalysis
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Clear, concise, and easy to follow. Great job explaining!

dharmrajrajput
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Ma'am 4th Semester ke videos nhi daalenge kya?

darkmatter
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hey I want to buy the notes but only wanted notes of 4th semester so I guess the price should be minimized
please let me know

aakankshaarts