A notebook of the training for data science from Palette Skills

Contains notebooks of Time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA, Prophet model and LSTM model with forecast evaluation.

My personal project consisting of my personally created notebooks to work with time series forecasting and analysis. In these projects, I've used deep learning using tensorflow, xgboost, statsmodels and scipy libraries of python. The series were of weather, energy consumption and that of stocks.

In this project I created a notebook that contains data preparation, analysis, and visualizations for all the time series data that a mock company would need to understand including: Visual depictions of seasonality (as measured by Google Search traffic) that are of interest to the company. An evaluation of how the company stock price correlates…

COVID-19 forecasting dashboard using data from John Hopkins University, PHE and www.gov.uk. An NHS Bed forecasting model for England is also added to the UK table and plotted. There is also a notebook for forecasting the Italy COVID-19 cases which implements a logistic model, and exponential model, and tries the fb prophet model. Important note:…