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%.

RPA tool for Interactive and Real-Time Financial Dashboard for Forecasting Financial Assets.

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.

Predicting the curve using FbProphet for Time Series Analysis of Flight booking data.

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.

Using machine learning models to predict upcoming COVID-19 peak wave

A Bitcoin price predictor using FB Prophet to forecast Bitcoin prices for the next year based on historical data.

Time series forecasting project using ARIMA, SARIMA, FB Prophet, and LSTM on stock data. ARIMA and SARIMA were evaluated with RMSE against a Naïve baseline, and all results were visualized in Python and Power BI

Different algorithms for forecasting sales and finding the predictive value of ongoing trends and also predict the future forecasting

This project was made under Make-It-Real Event of Cynaptics Club, IIT Indore.

Use Time Series Model with FB Prophet to analyze trends from google search history with a companies stock and daily revenue.

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.

Prophet model using the FbProphet library and MLP model using the Cesium library on time series dataset.