Alternatives and similar repositories for fanalysis

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

• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆149Updated 3 years ago
• zgana / fpp3-python-readalong
  Python-centered read-along of Forecasting: Principles and Practice
  ☆509Updated last month
• gianlucamalato / collinearity
  A Python libreary for removing collinearity
  ☆29Updated 4 years ago
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆105Updated 2 months ago
• tylerjrichards / Streamlit-for-Data-Science
  A repo for the book 'Streamlit for Data Science' by Tyler Richards
  ☆233Updated 2 years ago
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆191Updated last year
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆55Updated last year
• cwallaceh / sklearn_fastapi_docker
  Deployment of ML models using Python's Scikit-Learn + FastAPI + Docker
  ☆25Updated 3 years ago
• Apress / advanced-forecasting-python
  Source Code for 'Advanced Forecasting with Python' by Joos Korstanje
  ☆74Updated 3 years ago
• PacktPublishing / Getting-started-with-Streamlit-for-Data-Science
  Getting started with Streamlit for Data Science, published by Packt
  ☆81Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 2 years ago
• stefmolin / python-data-viz-workshop
  A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.
  ☆269Updated last week
• PacktPublishing / Machine-Learning-for-Time-Series-with-Python
  Machine Learning for Time-Series with Python.Published by Packt
  ☆299Updated 2 months ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆214Updated 2 months ago
• sophiamyang / sophiamyang.github.io
  ☆28Updated 2 years ago
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆128Updated last year
• baniasbaabe / delightful-data-science
  A fine book including tips and tricks around Data Science with Python
  ☆38Updated 5 months ago
• PacktPublishing / Hands-On-Data-Preprocessing-in-Python
  Hands-On Data Preprocessing in Python, published by Packt
  ☆203Updated 2 months ago
• shanakaChathu / churn_model
  ☆22Updated 2 years ago
• catherinenelson1 / SEforDS
  Code for the book "Software Engineering for Data Scientists"
  ☆102Updated last week
• 6chaoran / jupyter-summarytools
  summarytools in jupyter notebook
  ☆111Updated last year
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆475Updated 2 months ago
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆173Updated 2 months ago
• sktime / sktime-tutorial-pydata-global-2021
  Introduction to sktime at the PyData Global 2021
  ☆54Updated 3 years ago
• solegalli / feature-engineering-for-machine-learning
  Code repository for the online course Feature Engineering for Machine Learning
  ☆404Updated last year
• sepinouda / Intro_to_Data_Science
  This is the repository for the course Introduction to Data Science offered by the Department of Information Technologies, Åbo Akademi Uni…
  ☆49Updated 4 years ago
• solegalli / DataTalks.Club2022
  ☆20Updated 3 years ago
• a-data-odyssey / XAI-tutorial
  A course on explainable AI with Python
  ☆36Updated last year
• bpbpublications / Time-Series-Forecasting-using-Deep-Learning
  Time Series Forecasting using Deep Learning, published by BPB Publications
  ☆40Updated 4 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated 2 months ago