Dashboard to simulate the flow of stream data in real-time, as well as predict future satellite telemetry values and detect if there are anomalies.
-
Updated
Jun 30, 2021 - Python
Dashboard to simulate the flow of stream data in real-time, as well as predict future satellite telemetry values and detect if there are anomalies.
Stock Price Prediction predicts the stock price for next 5 years, data is fetched from Yahoo finance. The webapp uses Facebook Prophet model which has an MAPE of 10%.
The stock price forecasting results for 5 leading technology companies: Meta (META), Tesla (TSLA), NVIDIA (NVDA), Microsoft (MSFT), and Apple (AAPL). This analysis uses three popular prediction models: LSTM (Long Short-Term Memory), ARIMA (AutoRegressive Integrated Moving Average), and FBProphet.
This repository include basic time series analysis with different python library.
In this project, I predict a winner for the ashes ODI series between England and Australia where the away team is England and the home team is Australia using a machine learning algorithm.
RPA tool for Interactive and Real-Time Financial Dashboard for Forecasting Financial Assets.
Using machine learning models to predict upcoming COVID-19 peak wave
Predicting the curve using FbProphet for Time Series Analysis of Flight booking data.
Different algorithms for forecasting sales and finding the predictive value of ongoing trends and also predict the future forecasting
Use Time Series Model with FB Prophet to analyze trends from google search history with a companies stock and daily revenue.
This project was made under Make-It-Real Event of Cynaptics Club, IIT Indore.
A datascience project that shows the power production in France and predicts the consumption.
Created DW for sales data source and visualization done for the relevant requirements. Sales Prediction (Time Series) is done using the DW.
A Bitcoin price predictor using FB Prophet to forecast Bitcoin prices for the next year based on historical data.
Prophet model using the FbProphet library and MLP model using the Cesium library on time series dataset.
Add a description, image, and links to the fbprophet-model topic page so that developers can more easily learn about it.
To associate your repository with the fbprophet-model topic, visit your repo's landing page and select "manage topics."