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

• firmai / python-for-finance
  ☆14Updated 6 years ago
• 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 / business-datasets
  A selection of business datasets
  ☆18Updated 6 years ago
• fxing79 / ibaa
  A public available dataset for using market sentiment for financial asset allocation.
  ☆23Updated 6 years ago
• Apress / implementing-machine-learning-finance
  Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri
  ☆33Updated 4 years ago
• stefan-jansen / topic-modeling
  ☆14Updated 2 years ago
• yhilpisch / dnanlp
  Python codes and Jupyter Notebooks for the Dow Jones DNA NLP applied research paper.
  ☆16Updated 6 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 2 years ago
• Elsemary / Actuarial-Reserve-Risk-Classification-with-Gaussian-Mixture
  Classification of reserve risk with chain-ladder
  ☆12Updated 6 years ago
• rajat5ranjan / AV-Quantum-Black-Data-Engineering-Hackathon
  Quantum Black Hackathon organised by Analytics Vidya
  ☆13Updated 6 years ago
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆80Updated 4 years ago
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 5 years ago
• firmai / business-machine-learning-vendors
  A directory of the top business machine learning vendors
  ☆15Updated 4 years ago
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆32Updated 3 years ago
• yrbszhsh / Principles-of-Artificial-Intelligence-Learning-Algorithms
  My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms
  ☆13Updated 6 years ago
• ehsanma / IDS-566
  Advanced Text Analytics for Business
  ☆15Updated 7 years ago
• grananqvist / Machine-Learning-Algorithms-Numpy
  Implementations of Machine Learning algorithms using only numpy with visualizations
  ☆16Updated 7 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
• 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 7 months ago
• sudhamstarun / Understanding-Financial-Reports-using-Natural-Language-Processing
  Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑
  ☆52Updated 8 months ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• yingpublic / RMI-AI
  ☆18Updated 5 years ago
• tirthajyoti / mlr
  Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
  ☆34Updated 6 years ago
• nckwhiteley / volatility-change-points
  Dynamic time series clustering via volatility change-points
  ☆16Updated 6 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 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