Pinned Repositories
ai-platform
Open source platform for machine learning tasks
Boodl_Assignment
Problems and Solution
Connectplustech
Assignment of four Questions
Jarvis
Blog-API
Build POC on Blog API
Chatbot
Credit-card-fraud-detection-system
In this project, proposed a system that detect a fraud in credit card transactions. In recent time, digitization is increasing day to day. Many people is using digital money instead of hard money. So, here comes the fraud system. Credit card companies shall be able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Throughout the financial sector, machine learning algorithms are being developed to detect fraudulent transactions. Using a dataset of nearly 28,500 credit card transactions and multiple unsupervised anomaly detection algorithms, we are going to identify transactions with a high probability of being credit card fraud. In this project, we will build and deploy the two algorithms Local Outlier Factor (LOF) and Isolation Forest Algorithm.
Demo
Django_import_read_CSV
Django_Project
ruku786's Repositories
ruku786/DS-Test
Problem Statement: Data Scraping and Supplier Cohort Analysis for Aerospace CNC Manufacturing
ruku786/Real-time-face-detection
ruku786/MongoTask
Build a Pipeline to Upload data on s3 bucket and visualize the data.
ruku786/Python_Task
Python - FastAPI/Flask Task
ruku786/Task1
Python - FastAPI/Flask Task
ruku786/Silas_task
Data Engineer- Technical Assessment
ruku786/Sila_tasks
ruku786/House_price_prediction
Built Linear Regression Model for House-Price-Prediction
ruku786/Chatbot
ruku786/Loan_Prediction
ruku786/Lambda_function
Add AWS Lambda_function for Image Watermark
ruku786/Blog-API
Build POC on Blog API
ruku786/Homzi_images
ruku786/Homzhub
ruku786/New_Homzhub
ruku786/Demo
ruku786/Django_Project
ruku786/Django_Read_CSV
ruku786/Django_import_read_CSV
ruku786/files
ruku786/Upload_Excel_file
ruku786/Excel_upload
ruku786/springBootRepo
Spring boot with microservices using mongodb
ruku786/Fetch_data
ruku786/Insert_Data
ruku786/Emp_Table
Create Employee Table
ruku786/Export_import_Files_Django
Export Excel files and read the data inside the file.
ruku786/Credit-card-fraud-detection-system
In this project, proposed a system that detect a fraud in credit card transactions. In recent time, digitization is increasing day to day. Many people is using digital money instead of hard money. So, here comes the fraud system. Credit card companies shall be able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Throughout the financial sector, machine learning algorithms are being developed to detect fraudulent transactions. Using a dataset of nearly 28,500 credit card transactions and multiple unsupervised anomaly detection algorithms, we are going to identify transactions with a high probability of being credit card fraud. In this project, we will build and deploy the two algorithms Local Outlier Factor (LOF) and Isolation Forest Algorithm.
ruku786/Jarvis
ruku786/Boodl_Assignment
Problems and Solution