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MultiClass Logistic Regression, Python Machine Learning, Detecting multi outcome logistic regression

11.6K views
Nov 15, 2020
19:32

In this #PythonMachineLearning series, #MultiClassLogisticRegression is explained step by step using #IRISDataset. Logistic regression is applied on iris dataset and the species of iris flower is detected using its #PetalLength, #PetalWidth, #SepalLength, #SepalWidth. Link to the code: https://github.com/kjsk22/MultiClass-Logistic-Regression Link to Iris dataset used: https://www.kaggle.com/saurabh00007/iriscsv Link to Machine Learning playlist: https://www.youtube.com/playlist?list=PLebIePPSm5khqb2OE1ZmELWaxASQR1AEI Link to Chatbot playlist: https://www.youtube.com/playlist?list=PLebIePPSm5khXjuwDEEjrFGjwNYB93_q5 Link to Python playlist: https://www.youtube.com/playlist?list=PLebIePPSm5kjkRSPjxEBeZnY-SlWmEkcb Link to Pandas playlist: https://www.youtube.com/playlist?list=PLebIePPSm5kiS86mIRKHJuX9w2I3okZV5 Link to NumPy playlist: https://www.youtube.com/playlist?list=PLebIePPSm5kiQu8CrJWMwV-BEcR9Kh7LO You can connect with me here: https://facebook.com/AtomAI.online https://twitter.com/AtomAI_online

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MultiClass Logistic Regression, Python Machine Learning, Detecting multi outcome logistic regression | NatokHD