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
☆84Updated 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:
- Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization an…☆29Updated 5 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…☆50Updated 6 years ago
- Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.☆35Updated 6 years ago
- 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
- Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to…☆34Updated 6 years ago
- 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
- ☆183Updated 2 years 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
- ☆133Updated 4 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆141Updated 2 years ago
- Machine learning model for Credit Card fraud detection☆100Updated 4 years ago
- A data science project to predict whether a transaction is a fraud or not.☆181Updated 6 months ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆135Updated 7 years ago
- Predict your Medical insurance cost!☆91Updated 11 months ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆33Updated 3 years ago
- It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by m…☆250Updated last year
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆215Updated 2 years ago
- Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Le…☆9Updated 4 years ago
- Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a…☆59Updated 5 years ago
- A Collection of Data Science/ML Projects☆151Updated 2 years ago
- It is one of the most basic repository to understand the basics and apply machine learning algorithms on it.☆10Updated 6 years ago
- ☆159Updated last year
- This is Kaggle project for the house price prediction☆109Updated 2 years ago
- ☆174Updated 6 years ago
- In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Dat…☆39Updated 6 years ago
- L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter i…☆10Updated 6 years ago
- Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.☆17Updated 6 years ago
- ☆11Updated 5 years ago
- In this data set, We have to predict the patients who are most likely to suffer from cervical cancer using Machine Learning algorithms fo…☆10Updated 6 years ago