pwinslow / Fraud-DetectionLinks
This repo contains my jupyter notebook for a data challenge for building a machine learning model to identify fraud in e-commerce transaction data
☆13Updated 8 years ago
Alternatives and similar repositories for Fraud-Detection
Users that are interested in Fraud-Detection are comparing it to the libraries listed below
Sorting:
- iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transaction…☆556Updated 6 years ago
- Customer segmentation using k-means clustering in python☆59Updated 6 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆104Updated 2 years ago
- Credit card fraud detection through logistic regression, k-means, and deep learning.☆244Updated 7 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆91Updated last year
- Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast eva…☆326Updated 6 years ago
- ☆219Updated 3 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…☆29Updated 5 years ago
- Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.☆31Updated last year
- Methods with examples for Feature Selection during Pre-processing in Machine Learning.☆365Updated 5 years ago
- ☆87Updated 2 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆84Updated 6 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆111Updated 7 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆31Updated 5 years ago
- Lending Club Loan data analysis☆166Updated 6 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆61Updated 7 years ago
- 5 machine learning techniques to forecast product sales☆142Updated last year
- Genpact ML hackathon 2018 hosted on Analytics Vidhya. Food demand forecasting - 79th rank solution☆11Updated 6 years ago
- This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean…☆21Updated 6 years ago
- Different clustering approaches applied on different problemsets☆40Updated 5 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆141Updated 2 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆57Updated 5 years ago
- This is the code notebook for the blog post on using Python and Auto ARIMA☆104Updated 5 years ago
- This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…☆139Updated 6 years ago
- Stock Price Prediction case study using Keras☆169Updated 5 years ago
- ☆174Updated 6 years ago
- testing scikit-learn Isolation Forest☆77Updated 7 years ago
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆32Updated 7 years ago
- Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is us…☆429Updated 4 years ago