uttej2001/S-P500-Price-Level-Prediction

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MIT License
Created about 3 years ago
Updated almost 3 years ago

uttej2001/S-P500-Price-Level-Prediction

uttej2001

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To make S& P500 stock investment more accessible to new investors and guide them to gain more long-term profits.

Image-based-Human-Fall-Detection

Here I integrated the YOLOv5 object detection algorithm with my own created dataset which consists of human activity images to achieve low cost, high accuracy, and real-time computing requirements

Jupyter Notebook

Anomaly-Logs-Detection

There are many studies done to detect anomalies based on logs. Current approaches are mainly divided into three categories: supervised learning methods, unsupervised learning methods, and deep learning methods. Many supervised learning methods are used for log-based anomaly detection.

Jupyter Notebook

Price-Negotiator-Chatbot-System

AI Chatbot developed through Rasa. Rasa is helpful in understanding messages, holding conversations, and connecting to messaging channels and APIs.

StockBot-Real-Time-Trading-Assistant

Developed a cutting-edge Stock Trading bot leveraging real-time closing price data. Our experiment compared four distinct agents: Policy Gradient, Q-learning, Moving Average, and Actor Critic.

Jupyter Notebook

Bitcoin-Price-Prediction

This is built to encourage new bitcoin investors to buy profitably at the proper moment.

Jupyter Notebook

Fake-News-Analysis-using-NLP

To put a halt to the distribution of incorrect information from any online news outlet. Build an NLP Classifier that can identify news as Real or Fake.

Jupyter Notebook