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Forecasting Financial Time Series – A Model of MLP in Keras

Analytics Vidhya

The post Forecasting Financial Time Series – A Model of MLP in Keras appeared first on Analytics Vidhya. As an example, financial series was chosen as completely random and in general, it is interesting if […].

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Step-by-step Explanation to Time-series Forecasting

Analytics Vidhya

Introduction to Time-series Forecasting Time series forecasting is the process of fitting a model to time-stamped, historical data to predict future values. The post Step-by-step Explanation to Time-series Forecasting appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Using Weather Data for Machine Learning Models

Analytics Vidhya

In fact, it is so important that it usually ends up benefiting any forecasting model that incorporates it using machine learning models. Introduction Weather is a major driver for so many things that happen in the real world.

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Non-Generalization and Generalization of Machine learning Models

Analytics Vidhya

Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […].

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data.

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Deep Learning for Time Series Forecasting: Is It Worth It?

Dataiku

Using RNNs & DeepAR Models to Find Out. Time series forecasting use cases are certainly the most common time series use cases, as they can be found in all types of industries and in various contexts.

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.