whoami-j's repositories
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Artificial-Intelligence
In this repository I have solved traditional AI and some advanced problem in AI
FinanceOps
Research in investment finance with Python Notebooks
Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API
Ipython-notebooks-for-math-and-finance-tutorials
Ipython notebooks for math and finance tutorials
Python-Web-Scraping-Cookbook
Python Web Scraping Cookbook, published by Packt
Data-Science--Cheat-Sheet
Cheat Sheets
cufflinks
Productivity Tools for Plotly + Pandas
demo-files
Contains demo files used during our videos and classes.