Shubham Jain (shubhamjn1)

shubhamjn1

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Company:Data Scientist at ZS Associates

Location:Pune

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Shubham Jain's starred repositories

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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tabula-py

Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

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Mind-Expanding-Books

:books: Find your next book to read!

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streamlit_navbar

An example of how to make an streamlit app with a navbar.

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production-data-science

Production Data Science: a workflow for collaborative data science aimed at production

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data-science-interviews

Data science interview questions and answers

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aws_lambda_python_packages

AWS Lambda Precompiled Layers for Amazon Linux 2

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finta

Common financial technical indicators implemented in Pandas.

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pandas-ta

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

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ta

Technical Analysis Library using Pandas and Numpy

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Python-for-Algorithms--Data-Structures--and-Interviews

Files for Udemy Course on Algorithms and Data Structures

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featuretools

An open source python library for automated feature engineering

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evalml

EvalML is an AutoML library written in python.

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lux

Automatically visualize your pandas dataframe via a single print! 📊 💡

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Applied-Deep-Learning

Applied Deep Learning Course

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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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ai_all_resources

A curated list of Best Artificial Intelligence Resources

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Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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shap

A game theoretic approach to explain the output of any machine learning model.

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yahoo-finance

Python module to get stock data from Yahoo! Finance

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nsetools

Realtime Data From National Stock Exchange (India)

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fortyone

Machine Learning begins with Human Learning

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shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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zipline

Zipline, a Pythonic Algorithmic Trading Library

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DeepTables

DeepTables: Deep-learning Toolkit for Tabular data

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whatlies

Toolkit to help understand "what lies" in word embeddings. Also benchmarking!

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pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

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LightGBM-with-Focal-Loss

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

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autoimpute

Python package for Imputation Methods

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pydlm

A python library for Bayesian time series modeling

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