Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).
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Updated
Aug 16, 2022 - Jupyter Notebook
Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).
This repo contains files for the blog post about conjoint analysis
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Predict delivery time using sorting time and Build a prediction model for salary hike.
Used libraries and functions as follows:
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Created model using Linear regression to predict variables impacting demand.
Model created using Logistic Regression to identify potential leads
Time Series forecasting using Seasonal ARIMA. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots. Transformed series to make it stationary
Prepare a prediction model for profit of 50 startups data and Consider only the some columns and prepare a prediction model for predicting Price.
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