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**Objective**:
Enhance the Stock Price Prediction application by adding a chatbot feature that allows users to interact with the app using a conversational interface. This chatbot will enable users …
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### Feature Summary
I'd like to contribute to FinVeda by implementing a machine learning module that can predict financial trends, stock prices, and customer behavior. This module will leverage popul…
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### Is this a unique feature?
- [X] I have checked "open" AND "closed" issues and this is not a duplicate
### Is your feature request related to a problem/unavailable functionality? Please describe.…
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### Title
Stock sentimental analysis
### Enhancement Aim
The aim of a Stock Sentiment Analysis project using LSTM RNN is to predict stock market trends by analyzing the sentiment expressed in finan…
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Problem Description:
Developing a new machine learning model for improving the accuracy and performance of stock price predictions. The challenge lies in modeling the highly volatile nature of stoc…
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AI-Based Stock Predictor
**Overview**
The AI-Based Stock Predictor uses machine learning to forecast stock prices based on historical data. This project leverages advanced algorithms to analyze past…
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🔴 Title:
Implementing Machine Learning Models for Stock Market Prediction
🔴 Aim:
To build and compare various machine learning models to predict stock prices and trends based on historical stock …
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## Description
This issue proposes the integration of Explainable AI (XAI) techniques into the S&P 500 prediction model. The goal is to enhance model interpretability by allowing users to visualize a…
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This article is a nice application of supervised learning, one of the sub categories of ML. The steps for the method they use are as follows:
1. Data Collection: Collect data for the dataset
2. Da…
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🔍 Problem Description: Retail sales forecasting is a critical need for businesses to manage inventory effectively and optimize sales strategies. Accurate predictions allow retailers to stock appropria…