A user-friendly desktop application that utilizes a logistic regression model to predict the probability of a user having diabetes based on their inputted information.
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Updated
Jul 30, 2023 - Python
A user-friendly desktop application that utilizes a logistic regression model to predict the probability of a user having diabetes based on their inputted information.
A project to classify the Edibility of mushroom-based on its physical features.
The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
implementing logistic regression and naive bayes algorithm
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