In this resource, I will guide you through various projects where I employ diverse Classification Algorithms in Machine Learning to tackle a range of business problems. These include:
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Leveraging the Decision Tree Algorithm, I conducted an in-depth analysis of over 700 health records from India to predict the likelihood of individuals developing diabetes. Link
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By leveraging the Support Vector Classifier in conjunction with a Hyperparameter Method, I successfully classified various species of Iris flowers based on a dataset comprising 400 records encompassing the physical and biological properties of the flowers.Link
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By integrating the logistic regression model and the SMOTE model within a pipeline, I conducted an analysis of 284,806 transaction records from a credit company with the objective of detecting credit fraud.Link
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In my analysis, I processed over 50,000 reviews from reviewers on the IMDB website. By transforming the textual data into numeric representations using text tokenization techniques, I then employed Navie Bayes Classifier to classify the movie reviews as either Negative or Positive comments.Link