-
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…
-
The Binary Trading AI Bot project aims to develop an AI-powered bot for binary trading, leveraging machine learning algorithms to predict market movements. To enhance the bot's predictive capabilities…
-
Can this model do graph prediction tasks? For example, predict the future trend of personal social graph.
-
In this paper,4.4. Learnable Decomposition Generalization Analysis.How does the experiment design when testing learnable 1D conv on DLinear,do u have original code of this experiment
-
Hello,
I'm new to prophet and trying to 2 years old code from friend to improve a project.
By doing so, I am meeting an issue on prediction where a key seems to be missing somewhere in prediction …
-
The current trendline is calculated based on an interpolation of the last five years. We present this trendline as extending far into the future. This model has the advantage of being easy to compute …
-
# Salesforce Nonprofit Cloud: Empowering Your Mission with Intelligent Technology
## Introduction
Salesforce Nonprofit Cloud is a comprehensive, AI-powered suite of solutions designed specifical…
-
Hi all,
Thank you for developing this amazing package! I’m wondering if it’s possible to pull the coefficients and standard errors for the control variables using the R package did_multiplegt_dyn. …
-
**Is your feature request related to a problem? Please describe.**
Prediction of car price can be very helpfull to companies to anlyze future trend and pricing.
**Describe the solution you'd like*…
-
Description:
In the "GDP Prediction" section (`gdp-prediction-model.ipynb`) I aim to enhance the predictive power of our models by implementing feature engineering techniques. This involves creating …