1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Repository to store sample python programs for python learning
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A light-weight, flexible, and expressive statistical data testing library
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Visualize and compare datasets, target values and associations, with one line of code.
A native Rust library for Delta Lake, with bindings into Python
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Make awesome display tables using Python
This repository helps you learn Python and Machine Learning from scratch.
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
An ongoing list of pandas quirks
InfluxDB 2.0 python client
Working with molecular structures in pandas DataFrames
Easy pipelines for pandas DataFrames.
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
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