Alternatives and similar repositories for CC_Fraud

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

• tmcgrath / spark-with-python-course
  Contains source files used in the Spark with Python course
  ☆18Updated 6 years ago
• rileypredum / mall_customer_segmentation
  Quick EDA on a data set to determine what segments there are.
  ☆31Updated 6 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• vyashemang / flask-salary-predictor
  This is project predicts the salary of the employ based on the experience.
  ☆92Updated 4 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆67Updated 3 years ago
• bhattbhavesh91 / boston-housing-prediction-linear-regression
  Predicting Boston Housing Prices using Linear Regression
  ☆12Updated 6 years ago
• drabastomek / learningPySpark_video
  Learning PySpark video series
  ☆11Updated 7 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• Sardhendu / Data-Science-Projects
  {PySpark, R, Python}: Several Data Science projects
  ☆16Updated 7 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆81Updated 9 years ago
• UtkarshPathrabe / Statistical-Inference-Johns-Hopkins-Bloomberg-School-of-Public-Health-Coursera
  Notes and Quiz Answers of Statistical Inference Coursera Course
  ☆15Updated last year
• bhattbhavesh91 / time_series_notebooks
  My Experiments with Time Series
  ☆25Updated 4 years ago
• SamEBae / BigData-Coursera
  Big Data Specialization on Courserafrom University of California San Diego
  ☆13Updated 9 years ago
• notha99y / EDA
  This repo serves as code reference for the following TDS post https://towardsdatascience.com/a-starter-pack-to-exploratory-data-analysis-…
  ☆15Updated 5 years ago
• rashikaranpuria / Machine-Learning-Specialization
  Project work and Assignments for Machine learning specialization course on Coursera by University of washington
  ☆28Updated 8 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆36Updated 5 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 8 years ago
• amrrs / youtube-r-snippets
  ☆64Updated 3 years ago
• WillKoehrsen / classic_computer_science
  Classic Computer Science Problems with Python
  ☆29Updated 6 years ago
• abaranovskis-redsamurai / automation-repo
  Machine learning and process automation
  ☆138Updated 2 years ago
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 4 years ago
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 5 years ago
• AlexWarembourg / Medium
  Repository for medium article
  ☆21Updated last year
• betterdatascience / YouTube
  Code & data from YouTube videos
  ☆19Updated 2 years ago
• daddydrac / PySpark-Confluent-Kafka-Apache-Drill-
  A code-based tutorial for production level data streaming with PySpark plus Optimus for data cleaning, Confluent Kafka, & Apache Drill u…
  ☆27Updated 6 years ago
• ankit-rathi / Data-Science-with-Python
  ☆33Updated last year
• susanli2016 / Natural-Language-Processing-in-TensorFlow
  ☆18Updated 6 years ago
• maoting1223 / pycon_sg_2016
  PyCon SG 2016 - Customer Segmentation in Python
  ☆56Updated 9 years ago
• rdempsey / pyspark-for-data-processing
  Code for my presentation: Using PySpark to Process Boat Loads of Data
  ☆20Updated 8 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆64Updated 2 years ago