Time-Series forecast of max temps for four cities in India
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Updated
Aug 30, 2022 - Jupyter Notebook
Time-Series forecast of max temps for four cities in India
Using ARIMA and SARIMA time series models, I forecasted the future sales of a superstore by leveraging historical data spanning four years, from 2015 to 2018.
⏰ Timeseries prediction using SARIMA algorithm from statsmodels package.
Time Series Analysis using ARIMA & SARIMA
Time series analysis and forecasting using various models (such as Holt Winters, ARIMA, SARIMA etc.) to predict the recovery rate, number of deceased, and confirmed cases of the current pandemic.
A Time series Data modelling to forecast Gambling Addiction Signs in Players using K-Means Clustering, ARIMA/SARIMA and LSTM to forecast wagering patterns
Time series analysis
In this project, I thoroughly clean bike-share data from 2014-2015 and build a simplistic ARIMA model to forecast daily revenue per bike station in 2016. (Repo in progress)
Predicting Covid cases for California state using ARIMA, SARIMA and Holt Winters
Time series analysis and forecasting project based on Walmart Sales Data.
Market Share Prediction of Top 3 Mobile Vendors using Time Series Analysis
Household power consumption modeling (time-series modeling)
Create a time series model to forecast inventory needed by retail comapnies
time series forecasting using exponential smoothing, SARIMA, SARIMAX
Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
The project involved developing an ARIMA model to forecast the monthly Australian gas production level for the next 12 months.
Timeseries analysis - Study case of a small business using ARIMA,SARIMA and XGBoost models to predict stock based on sales.
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