Build your first AI Stock Predictor using Amazon Forecast

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В этом Бесплатный проект с консультациями вы:

E​xplore the feature of Amazon's Machine Learning as a Service (MLaaS) : Amazon Forecast

F​orecast Tesla Stock Prices using Amazon Forecast without writing a single line of code

Продемонстрируйте этот практический опыт на собеседовании

Clock2 hours
BeginnerПодходит для начинающих
CloudЗагрузка не требуется
VideoВидео на разделенном экране
Comment DotsАнглийский
LaptopТолько для ПК

Based on the same technology used at, AWS Forecast helps businesses and enterprises around the world to build accurate forecast. AWS Forecast is a machine learning service using which you could build forecast for multiple domains such as retail, inventory planning,etc. AWS Forecast also has automated machine learning capabilities which frees developers from many complexities of developing forecasting model from scratch and also saving the time. By the end of this course, you shall learn how to build your first AI Based stock market forecast using AWS Forecast. You shall also learn what are the different algorithms which are available as part of AWS Forecast and also how easy it is to train and deploy them. Please note: As part of this course, you would need your AWS Account to complete the course. It would be charged as per your usage of AWS Foreacst service. However, if you are using AWS Forecast for the first time, at the time of creating this course – AWS provides 10 hours of free hours to train or evaluate the model and 5 GB of storage during the first month. Overall you need to use this service within the first 1 month post which you shall be charged


B​asics of Forecast

Навыки, которые вы получите

  • Forecasting
  • Machine Learning
  • Amazon Forecast
  • prediction
  • Cloud Computing

Будете учиться пошагово

На видео, которое откроется рядом с рабочей областью, преподаватель объяснит эти шаги:

  1. G​et Started with Amazon Forecast

  2. E​xplore and Upload Dataset to S3

  3. C​reate Dataset Group, Datasets and Import Data to Amazon Forecast

  4. T​rain a Predictor

  5. I​nterpreting Training Predictor Results

  6. G​enerate Forecasts on the Console

  7. G​enerate Forecast and Export to CSV

  8. A​void Suprise Expenses: Delete AWS Resources

Как устроены проекты с консультациями

Ваше рабочее пространство — это облачный рабочий стол в браузере. Ничего не нужно загружать.

На разделенном экране видео преподаватель предоставляет пошаговые

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