The repo holds the source code for credit card fraud detection system
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Updated
Sep 30, 2017 - HTML
The repo holds the source code for credit card fraud detection system
Udacity capstone project | Credit card fraud prediction | Supervised Learning | Ensemble model | Data Sampling
Classification model for 1 year survival rates in patients with HCC (hepatocellular carcinoma).
This is a Credit Analysis project developed by Felipe Solares da Silva and is part of his professional portfolio.
A sentiment analysis using SPAM/HAM Text Classification data using Support Vector Machines. Utilizes different variations of the Synthetic Minority Oversampling Technique (SMOTE-SVM, SMOTE-KNN).
6th Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Model Tuning (GridSearchCV & RandomizedSearchCV)
Detecting Abnormal Markets - Early Warning Systems
Exploratory data analysis and predictive modeling using Tinder matching data. Model predicts whether you would find a relationship or not. The EDA was showcased with a web application, in collaboration with software engineer students. This project was part of Practicum Code Pudding 2.0 competition.
The telecom operator Interconnect would like to forecast churn of their clients. To ensure loyalty, those who are predicted to leave will be offered promotional codes and special plans.
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
This repository contains files on Predict probability whether a given blight ticket will be paid
Perform an exploratory data analysis and provide actionable insights for a food aggregator company to get a fair idea about the demand of different restaurants and cuisines, which will help them enhance their customer experience and improve the business
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