Alternatives and similar repositories for reddit-data-science-project-ideas

Users that are interested in reddit-data-science-project-ideas are comparing it to the libraries listed below

• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 2 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆71Updated 3 years ago
• firmai / python-for-finance
  ☆14Updated 6 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• firmai / business-datasets
  A selection of business datasets
  ☆18Updated 6 years ago
• tonyleidong / OptimalFlow
  OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…
  ☆27Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• rasbt / R-notes
  Various R lang related material for teaching.
  ☆24Updated 4 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 8 months ago
• jphall663 / GWU_rml
  ☆39Updated 4 months ago
• stefan-jansen / topic-modeling
  ☆14Updated 2 years ago
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆33Updated 3 years ago
• yhilpisch / dnanlp
  Python codes and Jupyter Notebooks for the Dow Jones DNA NLP applied research paper.
  ☆16Updated 6 years ago
• rajat5ranjan / AV-Quantum-Black-Data-Engineering-Hackathon
  Quantum Black Hackathon organised by Analytics Vidya
  ☆13Updated 6 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
• 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
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆24Updated 5 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 6 years ago
• itsgorain / 100DaysOfNLP
  I will be putting notebooks created for #100daysofnlp here
  ☆19Updated 5 years ago
• susanli2016 / Natural-Language-Processing-with-Deep-Learning-in-Python-
  The repository for the course in Udemy
  ☆16Updated 6 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆64Updated 4 years ago
• Apress / implementing-machine-learning-finance
  Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri
  ☆33Updated 4 years ago
• MarwaEshra / Create-Interactive-Dashboards-with-Streamlit-and-Python
  Create Interactive Dashboards with Streamlit and Python Coursera
  ☆10Updated 5 years ago
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 6 years ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 2 years ago
• ashishpatel26 / datascienv
  datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…
  ☆58Updated 3 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆49Updated 2 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago