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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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Description:
Create a predictive model that forecasts stock prices using historical data. Use machine learning libraries such as Scikit-learn or TensorFlow. The model should output predictions for…
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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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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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### 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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Convert existing Python code to C++
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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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🔍 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…
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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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Description- Predicting stock prices is an important application of machine learning in finance. we will use machine learning algorithms to predict the stock prices of Netflix, one of the leading comp…