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Sean Koval's repositories

atlas

Venture Capital API - collecting, analyzing, and making inferences about vc/startups using alternative data.

Language:Python4 10

algo_ds

Algorithms and Data structures work partnered with useful notes and links.

Language:Python100

Deep-Learning-Bitcoin-Sentiment-Analysis

Repository containing work for w251 final project. The project is in regards to exploring sentiment analysis and price prediction of bitcoin using deep learning and twitter data.

Language:HTML100

developer-roadmap

Roadmap to becoming a developer in 2022

Language:TypeScriptNOASSERTION100

sentilab

Tools and notebooks related to the use of sentiment analysis and NLP (textual analysis) for investment insight.

Language:PythonMIT100

House-Price-Prediction

Data science project exploring feature engineering for house price prediction.

Language:Jupyter Notebook000

PythonPortMgmt

Series of tools for analyzing performance, measuring risk, and constructing equity portfolios. Included is a series of notebooks for demonstrating use cases and aiding in interpretability.

Language:Jupyter Notebook000

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

MIT000

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

NOASSERTION000

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

GPL-3.0000

data_eng

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dyno

Back-testing and deployment engine for Interactive Brokers.

Language:Python000

Flight-Delay-Prediction

Data processing and modeling pipeline to predict if a flight is going to be delayed by more than 15 minutes 2 hours before flight departure. The pipeline uses pySpark and Databricks for distributed processing to improve data cleaning and model training times.

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