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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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My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.
I was afraid that my savings would be eaten by inflation. I have created a powe…
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### Question
Nvidia GPUs are energy thirsty chips. If Nvidia Stock will indeed Reach $10 Trillion Market Cap By 2030, how would it impact the environment? This is potentially unsustainable, and curr…
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Real-time prediction of stock market trends based on news, tweets,
and historical price. A supervised machine learning algorithm such as SVM, Random Forest, Logistic Regression can be used.
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1. Data Collection
Gather historical data on:
Indian General Election dates and outcomes.
Historical stock market data (e.g., BSE Sensex and NSE Nifty).
Macroeconomic indicators (e.g., inflati…
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### Stock Market Analysis with Airbyte
Extract real-time or historical stock data, news, or financials from the Polygon Stock API using Airbyte. Load the data into a warehouse to perform trend analys…
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HI nikol,
Google brought me to your website accidentally and their I found this software. Its really an interesting software but what is your weka model's accuracy. Some where you wrote that when you …
ghost updated
8 years ago
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- Abstract (2-3 lines)
Predicting the behaviour of stock market is always an area of interest for researchers. With the advancement in techniques of machine learning and neural networks, it has sta…
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# Food Demand Forecasting for Restaurants
**Tier:** 2-Advanced
Food demand forecasting for restaurants is an application built to estimate the food demand that a restaurant is expected to receiv…
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请问目前您所说的bug是否已经完全修复了呢？不知后续是否可以完全复现论文：Multi-scale Two-way Deep Neural Network for Stock Trend Prediction中的结果？貌似项目中并没用使用原论文中的下采样的方法，仅仅对于多尺度小波分析进行实现。