Alternatives and similar repositories for Fraud_Detection_in_Python:

Users that are interested in Fraud_Detection_in_Python are comparing it to the libraries listed below

• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆25Updated 3 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 9 months ago
• cereniyim / Customer-Segmentation-Unsupervised-ML-Model
  Customer-base segmentation over e-commerce sales data
  ☆25Updated 4 years ago
• krishnadulal / Feature-Selection-in-Machine-Learning-using-Python-All-Code
  Feature Selection in Machine Learning using Python All Code
  ☆34Updated 5 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆69Updated 4 years ago
• priyadarshi0007 / TimeSeries-AIEngineering
  This is a repo for all the time series related notebook for AIENgineering
  ☆2Updated 4 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆30Updated 7 years ago
• YuehHanChen / Telco_Customer_Churn_Analysis
  Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…
  ☆10Updated 4 years ago
• dipanjanS / practical_nlp_workshop_gids20
  Contains relevant notebooks for the hands-on NLP workshop for the GIDS AIML Conference -2020 Edition
  ☆23Updated 3 years ago
• solegalli / feature-selection-with-feature-engine-book
  Code repository for the book Feature engineering with Feature-engine
  ☆14Updated 10 months ago
• seifip / starbucks-customer-segmentation
  Udacity Data Science Nanodegree Capstone
  ☆36Updated 4 years ago
• charumakhijani / spark-ml-deployment
  ☆11Updated 4 years ago
• ivan-bilan / Deep-Learning-for-NLP-Tutorials
  Tutorials for using Tensorflow and Keras for NLP
  ☆14Updated 7 years ago
• elifyilmaz2027 / projects
  This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
  ☆13Updated 9 months ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• solegalli / deploying-machine-learning-models
  Example Repo for the Udemy Course "Deployment of Machine Learning Models"
  ☆20Updated 4 years ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• poornagurram / TimeSeriesAnalysis_ODSC_2019
  Resources for Data Science Kick Starter Workshop at ODSC India 2019
  ☆20Updated 4 years ago
• eswarchandt / Machine-Learning-Algorithms-with-Pyspark
  In this Complete process in machine learning is discussed and done with pyspark .
  ☆18Updated 4 years ago
• komal11lamba / 50-days-of-Statistics-for-Data-Science
  This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded …
  ☆27Updated 3 years ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 years ago
• ashishpatel26 / Kubeflow-installation-on-windows-10
  Kubeflow installation on windows 10/11
  ☆16Updated 2 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆17Updated 2 years ago
• adib0073 / Time_Series_Anomaly_Detection
  Effective Approaches for Time Series Anomaly Detection
  ☆11Updated 4 years ago
• PacktPublishing / Exploratory-Data-Analysis-with-Pandas-and-Python-3.x
  Exploratory Data Analysis with Pandas and Python 3.x, published by Packt
  ☆44Updated 2 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆26Updated 5 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 years ago