Alternatives and similar repositories for dataibreathe

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

• firmai / techniques
  Jupyter Notebook and Python business intelligence tools and techniques. [Raw upload]
  ☆85Updated 2 years ago
• johntwk / Python-ML-rolling-grid-search
  Hyperparameter tuning and rolling time-series forecast for machine learning models
  ☆18Updated 8 years ago
• llSourcell / LoanDefault-Prediction
  Lending Club Loan data analysis
  ☆45Updated 6 years ago
• firmai / python-for-finance
  ☆14Updated 6 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 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆93Updated 2 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆103Updated 6 years ago
• minerva-ml / steppy-toolkit
  Curated set of transformers that make your work with steppy faster and more effective
  ☆22Updated 7 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 6 years ago
• abaranovskis-redsamurai / automation-repo
  Machine learning and process automation
  ☆137Updated 3 years ago
• PacktPublishing / Predictive-Analytics-with-TensorFlow
  Predictive Analytics with TensorFlow, published by Packt
  ☆83Updated 3 years ago
• huseinzol05 / Machine-Learning-Numpy
  Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much m…
  ☆112Updated 6 years ago
• jalajthanaki / Awesome_Machine_Learning_Solutions
  A curated list of repositories for my book Machine Learning Solutions.
  ☆81Updated 7 years ago
• JannesKlaas / MLiFC
  Course Material for the machine learning in financial context bootcamp
  ☆108Updated 7 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆32Updated 6 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• tinkerdeep / invent-prediction
  Model to accurately forecast inventory demand based on historical sales data.
  ☆66Updated 9 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆32Updated 9 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 7 years ago
• amirziai / learning
  Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python
  ☆71Updated 2 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 3 years ago
• jaungiers / Yahoo-Finance-Stocklist-Scraper
  Converts the full Yahoo Finance stocks list into a .csv file with ticker symbol, company name, exchange and country mapped.
  ☆21Updated 11 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆82Updated 4 years ago
• thedataincubator / excel-to-python
  Examples of how Python can speed up tasks that are cumbersome in Excel
  ☆13Updated 9 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• grananqvist / Machine-Learning-Algorithms-Numpy
  Implementations of Machine Learning algorithms using only numpy with visualizations
  ☆17Updated 7 years ago
• ianozsvald / beyond_correlation
  Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning
  ☆55Updated 6 years ago