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10 Weeks, 20 Lessons, Data Science for All!
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Data and code behind the articles and graphics at FiveThirtyEight
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Financial Sentiment Analysis with BERT
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
Timely detections for more proactive and effective actions in offshore oil wells!
Probabilistic reasoning and statistical analysis in TensorFlow
This repository helps you learn Python and Machine Learning from scratch.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Independent quantitative finance research project comparing U.S. and Kazakhstan equity markets using Python and portfolio theory.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
Segment Anything for Microscopy
interactive notebooks from Planet Engineering
A high performance implementation of HDBSCAN clustering.
fklearn: Functional Machine Learning
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
Project 02 of StudyBuild: Analyze customer behavior, generate business insights, and make data-driven decisions using Python.
The Python Code Tutorials
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
Colorectal cancer RNA-seq to CA7 zinc-site docking and molecular dynamics