sharmaroshan / Fraud-Detection-in-Online-TransactionsLinks
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
☆87Updated 6 years ago
Alternatives and similar repositories for Fraud-Detection-in-Online-Transactions
Users that are interested in Fraud-Detection-in-Online-Transactions are comparing it to the libraries listed below
Sorting:
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆144Updated 2 years ago
- ☆183Updated 2 years ago
- Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.☆34Updated 6 years ago
- ☆136Updated 4 years ago
- Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visu…☆51Updated 6 years ago
- projects done at ineuron.ai☆59Updated 5 years ago
- Machine learning model for Credit Card fraud detection☆107Updated 4 years ago
- A data science project to predict whether a transaction is a fraud or not.☆203Updated 9 months ago
- Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Fe…☆13Updated 6 years ago
- This is Kaggle project for the house price prediction☆109Updated 2 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆95Updated last year
- Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization an…☆29Updated 5 years ago
- ☆163Updated last year
- It is from a kaggle competition where we have to predict the future sales using Machine Learning or Deep Learning. It is a Advanced Regre…☆15Updated 6 years ago
- It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed …☆18Updated 6 years ago
- Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning☆172Updated 4 years ago
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆47Updated 7 years ago
- ☆11Updated 5 years ago
- Predict your Medical insurance cost!☆92Updated last year
- This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other rel…☆28Updated 6 years ago
- In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies,…☆185Updated last year
- Portfolio including my data science projects for academic, self-learning, and hobby.☆49Updated 5 years ago
- ☆123Updated 6 years ago
- ☆222Updated last year
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆32Updated 4 years ago
- Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to…☆34Updated 6 years ago
- ☆72Updated last year
- a collection of different Exploratory Data Analysis Aproaches☆89Updated 5 years ago
- Data Science & Machine Learning Internship at Flip Robo Technologies☆22Updated 3 years ago
- Credit Card Fraud Detection☆43Updated last year