Tracks all major upcoming market events by updating sources from across the web allowing users to stay informed on market changes and make informed trading decisions
The scrubber will identify vendor names using techniques such as named-entity recognition, regular expression matching, or machine learning models trained on labeled data
Implement a data pipeline that automatically ingests, cleans, and stores financial data. This includes scraping, storing, transforming, validating and loading a data feed
Creating models that can predict future values of a time series based on past data, such as sales or production inputs
Analysis that provides valuable insights for businesses to understand the spatial distribution of their target markets, identify potential customers, and make informed decisions related to market expansion, site selection, and resource allocation.
Developing a model to recognize and classify objects in images using deep learning techniques
Develop a model to predict future financial performance of a company using historical financial data and external market factors