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All Blog Posts Tagged 'Series' (6)

A Complete Tutorial on Time Series Modeling in R

This article was written by Tavish Srivastava.


  • Time Series Analysis and Time Series Modeling are powerful forecasting tools
  • A prior knowledge of the statistical theory behind Time Series is useful before Time series Modeling
  • ARMA and ARIMA…

Added by Andrea Manero-Bastin on December 13, 2020 at 12:00pm — No Comments

Boosting Trading Models with Sagemaker and Essentia

Building accurate models takes a great deal of time, resources, and technical ability. The biggest challenge? You almost never know what model or feature combination will end…


Added by Benjamin Waxer on July 25, 2019 at 4:12am — No Comments

Questions to ask while implementing Anomaly detection system

A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, e-commerce price glitches among millions of products, and so on. Anomaly detection system can work…


Added by Avinash Udaykumar on May 27, 2019 at 2:30am — No Comments

How to use anomaly detection to balance your distribution budget

Cost driver: One of the key drivers of cost for ecommerce businesses is the last mile delivery charges. Consumers have the option to switch between e-retailers depending on their willingness to pay delivery charges, which is generally significantly low. This notion puts the power into the hands of the customer. Delivery charges, when added just before payment, makes the customer rethink and is one of the reasons for…


Added by Avinash Udaykumar on April 9, 2019 at 3:00am — No Comments

Avoiding Look Ahead Bias in Time Series Modelling

Any time series classification or regression forecasting involves the Y prediction at 't+n' given the X and Y information available till time T. Obviously no data scientist or statistician can deploy the system without back testing and validating the performance of model in history. Using the future actual information in training data which could be termed as "Look Ahead Bias" is probably the gravest mistake a data scientist can make. Even the sentence “we cannot make use future…


Added by Rohit Walimbe on April 21, 2017 at 6:00am — No Comments

Data Mining of Time Series and spatio-temporal Data

Complex stuff! However, we can start from the basics , gain confidence in understanding our dataset and utilise whatever has already been done by other stalwarts! 

We have a 11 years monthly data on milk procurement by more than 100 milk co-ops spread across India. This contains their geographic location, quality of milk procured,  price received , products made etc etc. This is a seasonal industry  in India affected by weather, prices and in general crafty management acumen…


Added by Subir Mitra on March 28, 2016 at 8:33am — No Comments

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