Alternatives and similar repositories for datadoubleconfirm

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

• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• jphall663 / GWU_rml
  ☆37Updated 2 months ago
• kennethleungty / COVID19-Vaccine-Sentiment-Analysis
  Sentiment Analysis of COVID-19 Vaccine-related Twitter Data
  ☆10Updated 4 years ago
• rweng18 / bokeh_map
  Basic interactive map using bokeh and geopandas packages in Python.
  ☆21Updated 5 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 3 years ago
• pappakrishnan / Data-Science-Take-Home-Challenges
  A list of take home challenges for data science interviews I've compiled
  ☆17Updated 6 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• ASOS / dsf2020
  Data Science Festival Workshop 7 November 2020 – Building a fashion recommender using Tensorflow/Keras with ASOS.
  ☆26Updated 4 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 10 months ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆58Updated 6 years ago
• mdh266 / AirflowETL
  Blog post on ETL pipelines with Airflow
  ☆23Updated 5 years ago
• MaartenGr / soan
  Social Analysis based on Whatsapp data
  ☆147Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆182Updated last year
• maladeep / data-quality-checker
  Check the basic quality of any dataset
  ☆11Updated 4 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 11 months ago
• dachosen1 / Feature-Engineering-for-Fraud-Detection
  Implementation of feature engineering from Feature engineering strategies for credit card fraud
  ☆41Updated 4 years ago
• rileypredum / marketing_analytics_sql
  Analyzing and calculating key marketing metrics with SQL and Python
  ☆14Updated 6 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆98Updated 7 years ago
• theodi / synthetic-data-tutorial
  A hands-on tutorial showing how to use Python to do anonymisation with synthetic data
  ☆79Updated 3 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆71Updated 4 years ago
• bondicrypto / AB_Testing
  Implementing A/B Tests in Python
  ☆28Updated 5 years ago
• dylanjcastillo / twitter-sentiment-tracker
  Dash app for classifying tweets in real-time
  ☆66Updated 2 years ago
• mihail911 / fake-news
  Building a fake news detector from initial ideation to model deployment
  ☆155Updated last week
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• risenW / Practical_feature_engineering_guide
  A detailed guide to feature engineering for machine learning in Python
  ☆23Updated 5 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆117Updated 7 years ago
• HamzaBendemra / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆65Updated 4 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year