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Festus Sambu's Projects

comments-toxic-prediction icon comments-toxic-prediction

Trained twiter comment using nlp and machine learning to automatically detect if a comment is toxic, severe toxic, obscene, threat, identity hate or insult.

diabetes-prediction icon diabetes-prediction

The project was to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage. The datasets consists of several medical predictor variables and one target variable, Outcome. Predictor variables includes the number of pregnancies the patient has had, their BMI, insulin level, age, and so on.

dimjimmushroomdata icon dimjimmushroomdata

web app to record and display graph of recorded temperature values using plotly.

portfolio icon portfolio

Playful and Colorful One-Page portfolio featuring Parallax effects and animations. Especially designers and/or photographers will love this theme! Built with MDX and Theme UI.

toxic_comments icon toxic_comments

I Used Natural language Processing to clean and vectorize input data and machine learning algorithm(Linear SVC) to predict if a comment is toxic or not. The model had a F1 accuracy of 71%.

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