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Gold Price Prediction is a project that involves forecasting future gold prices using historical data and various machine learning or time series analysis techniques. The goal of this project is to bu…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
1. Data Integration: Collect real-time data on patient arrivals, bed occupancy, staff avai…
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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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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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### 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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As of now, we have "vanilla" synthetic control working with `cp.pymc_experiments.SyntheticControl` as the experiment class, and that is fed the `cp.pymc_models.WeightedSumFitter` as the model.
It …
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# 5 Customer Service Trends for 2021
What’s happening with customer service trends in 2021? Here are five of our predictions
[https://www.jitbit.com/news/5355-5-customer-service-trends-for-2021/](ht…
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🔴 Title: Online Laptop Price Predictor App
🔴 Aim: To create an online application that accurately predicts laptop prices based on various features, such as brand, specifications (CPU, RAM, storage)…
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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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Some issues while trying to replicate your impressive work.
1. Can i use different episode length at same collect frequency？(episode length=800-1200)
2. I found that the model is very sensitive to t…