Forecasting the growth of GitHub repositories (in Python and R languages) over the next 5 years.
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Updated
Feb 3, 2019 - Python
Forecasting the growth of GitHub repositories (in Python and R languages) over the next 5 years.
Deep Learning via Pytorch
Supervised ML Time Series project using FBProphet
This is a time series analysis of bitcoin historical data.The data set is of 2587 rows and 7 columns.I have tried to build a model which can predict the future closing price of the bitcoin.
the data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.
Time series analysis to obtain future forecasts from the last recorded observation, applying the Box-Jenkins methodology using ARIMA models.
This repository contains the code and materials I wrote related to my undergraduate coursework in Time Series Analysis. The coursework focus on modelling and forecasting for time series.
Analyzing EEG records to find Epilepsy
TimeSeries
Kaggle competition on Walmart data
One-stop product solution provided by COVID Outbreak Detection Team 06.
A Predictive model that finds the growth pattern COVID-19 virus and predicts the future number of cases affected by the virus by using a time series forecast module called fbprophet
Using Time-Series Forecasting and Linear Regression Modeling to predict future movements of the Japanese yen versus the U.S. dollar.
Prediksi jumlah kedatangan pelanggan pada salah satu store barbershop, yang akan digunakan sebagai penentuan stock barang maupun potensi penambahan karyawan
Deep Learning project about the design and training of a model for Time-Series prediction
Predict co2 emission for each location of a year based on 3 years data | Kaggle Competitions
This repo is for the LinkedIn Learning course Recurrent Neural Networks
This is a time series project that seeks to predict sales of the Favourita company.
META API sentiment analysis and tutorial of API usage along with Time Series Forecasting Kaggle challenge
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