Forecasting with LLMs

Using Python to conduct EDA, perform statistical analysis, visualize insights, and present data-driven solutions to Chief Marketing Officer in the company

Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer Churn’ dataset.

A dynamic forecasting benchmark for LLMs

Use lightweight LLMs to sequentially monitor Decomposition Attacks

SAGE-Eval is a benchmark for evaluating language models' capability to generalize safety knowledge across different scenarios.

Collection of Summer 2026 tech internships!

scikit-learn: machine learning in Python

A simple, yet elegant, HTTP library.

Low-code framework for building custom LLMs, neural networks, and other AI models

Build, Manage and Deploy AI/ML Systems

A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Python Data Science Handbook: full text in Jupyter Notebooks

A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs

A central repository of Business Science presentations

Hackerrank Problem solving solutions in Python

HackerRank solutions in Java/JS/Python/C++/C#

Annotated solutions to HackerRank's Python challenges.

Research examining how the 2017 "Buy American, Hire American" policy affected wages across industries with varying H-1B visa dependency (2012-2020)

Tutorials and training material for the H2O Machine Learning Platform

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Gathered multiple pdfs regarding interview questions on machine learning and deep learning

🍒 Solution to HackerRank problems

Collection of Summer 2026 tech internships!

A machine learning app that uses TensorFlow.js, React, and Parcel to best match makeup foundation shades from various beauty brands to images of skin tones.

EY2023 challenge

Group project on implementation of graph networks for Amazon co-purchasing analysis