Runtime Terror's repositories
Awesome-AI-Data-GitHub-Repos
A collection of the most important Github repos for ML, AI & Data science practitioners
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
community-job-portal
A job portal for the communities and by the communties.
data-science-interviews
Data science interview questions and answers
Finance
Study resources for quantitative finance
FinancePy
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
FinGPT
Open-source for open finance! Revolutionize 🔥
Kaggle-Starter-Codes
A repository containing link to some my Kaggle starter Notebooks
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test
openai-cookbook
Examples and guides for using the OpenAI API
pandas_exercises
Practice your pandas skills!
quant-finance-lectures
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Quant-Finance-Resources
Courses, Articles and many more which can help beginners or professionals.
R-files-from-YouTube
R and Data Files from my YouTube Channel
scipy_proceedings
Tools used to generate the SciPy conference proceedings
serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
test_assignment
probability
Time-Series-Library
A Library for Advanced Deep Time Series Models.