Fraudulent Credit Transaction detection system using SMOTE, Random Forest Classifier and Streamlit
Automating the process of Data Preprocessing for Data Science
Detects anomalies in time series using statistical features and forecasts future values with an L...
Deploying Classification Model on GCP for detecting anomalous behavior in credit-card transaction...
Project FraudCatch leverages AI to predict and prevent financial fraud in real-time. It uses Apac...
🔒💳 𝗢𝗻𝗹𝗶𝗻𝗲 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 is a data science project that uses machine learning to identif...
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for envi...
Robust credit risk model that go beyond traditional credit scoring methods in banks
A constantly updated python machine learning cheatsheet
Streamlit component for the Yellowbrick visualization and model diagnostics library
Apache Spark Machine Learning project using MLlib and Linear Regression on Databricks!
Repository to track Data Analysis done on various datasets available online
Analyzing global data on sustainable energy, predicting CO2 emissions per capita