FBProphet snippets in R

A simple flask based application to track the live and historical COVID-19 cases, deaths, recovered, tests, etc. It also contains features like live graphs, sentiment analysis, news, 7-day predictions and historical data for all affected countries. We have specially made a separate COVID-19 tracker for INDIA with the same features as above.

Analyze MercadoLibre's financial and user data in clever ways to provide insight to help the company grow. You will be able to predict search traffic so you can translate into the ability to successfully trade the stock.

In this project I have tried different approaches to Sales forecast like SARIMAX, Facebook's Prophet, LSTM and XG Boost Regression. I have tried to optimize each of these models to get the best sales forecasting model suitable for Olist' limited historical data.

Predicting and analyzing the future / past behaviour of Check Point stock using fbprophet, a data science library by Facebook

COVID-19(Coronavirus) CaseStudy, Analysis, Visualization and Prediction.

Stock Prediction App made with Streamlit.

Time series analysis for analyzing birth rate on a daily basis.

This is a project work done as part of RIO-125 virtual internship at TCS-iON.

Прогнозирование цен на авокадо

This study is based on confirmed cases and deaths collected from Pakistan. Results demonstrate the promising potential of TIME SERIES model in forecasting COVID-19 cases and highlight the superior performance of the time series compared to the LSTM.we apply AI-based forecasting models such time series ARIMA, LSTM, prophet and VAR.

ML algorithms in Python

Data forecasting using fbprophet library.

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

Learned how to find or scrape information from networks and manipulate that information to display trends. This was done in Python using Google Colab's .ipynb environment. Libraries used were Pandas, NumPy, Seaborn, Scipy, Matplotlib, SkLearn, and FacebookProphet.

code will related to time series data and forecast

Crude oil analysis on SQL cleaned data

Predicting_US_Housing_Market_ARIMA_ML_LSTM_RNN_FBProphet

With FBprophet, I predicted the board-in passengers at Leetaewon Station, which located at Line 6 in Seoul.

School Team Project