scikit-learn: machine learning in Python
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Your new Mentor for Data Science E-Learning.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Statsmodels: statistical modeling and econometrics in Python
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
🌊 Online machine learning in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
Visualize and compare datasets, target values and associations, with one line of code.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
What's in your data? Extract schema, statistics and entities from datasets
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
Python package for graph statistics
Module for statistical learning, with a particular emphasis on time-dependent modelling
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
Visualize network topologies and collect graph statistics based on pcap files
scPerturb: A resource and a python/R tool for single-cell perturbation data
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
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