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1. Credit-Card-Fraud-Detection-with-Classifiers Credit-Card-Fraud-Detection-with-Classifiers Public

   Using algorithms such as XG-Boost, Random Forest, KNN, Logistic Regression, SVM, and Decision tree from scikit-learn to classify and distinguish fraud transactions. We also use evaluation metrics s…

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2. Face-Detection-with-Open-Computer-Vision Face-Detection-with-Open-Computer-Vision Public

   Using open source computer vision this model detects faces from a given input picture. Written in python using Colaboratory.

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3. Breast-Cancer-Detection-with-Naive-Bayes Breast-Cancer-Detection-with-Naive-Bayes Public

   Machine Learning Binary Classifier implementing a Naive Bayes algorithm written in Python using Colaboratory. The dataset features breast cancer tumor information provided by SciKit-Learn.

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4. Kardashians-Datacamp-Project Kardashians-Datacamp-Project Public

   This guided project from Datacamp is analysis Google Trends data on the Kardashian family clan and patterns found on that data.

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5. Linear-Regression-House-Selling-Prices Linear-Regression-House-Selling-Prices Public

   Using R and a dataset from Kaggle, I built a linear model that can be used to predict the price of a home from a given number of variables and added some visualizations to help interpret the model …

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6. Logistic-Regression-Predicting-Grades Logistic-Regression-Predicting-Grades Public

   Using R, I built a logistic regression model that can predict whether a student will get an "A" or not from given variables in a 400 level statistics class with an accuracy greater than 91%. I also…

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