Algorithms.io vs Hal9

Classification & Anomaly Detection- With our machine learning algorithms and your time series data, we can get up to 99% prediction accuracy on the state of the sensor. Algorithms include neural network, random forest, support vector machine and others.;Streaming Data Infrastructure- We provide the infrastructure for your streaming data as a service including a highly scalable time-series database and analytics capabilities.;Analytics Across All Your Devices- Capture and aggregate data from all of your devices to perform analytics across the entire dataset.;Random Forest, SVM, Decision Tree, Node.js, Streaming Data

Start by importing data from Google Sheets, Excel or any other service that supports exporting your data. Simply drag the type of data you have: CSV, Excel, or JSON and open the URL or file with your data; After importing your data, drag the chart and fields to visualize, is that simple. You can choose from bar, line, scatter, bubbles, wordclouds and many more charts; Forecast future values by dragging a prediction, select the field to predict, the type of prediction that best fits your needs and how many values to predict into the future, is that easy; If you want to go the extra mile, you can export your analysis to HTML and embed the results in any site that supports static HTML: Wix, WordPress, you name it. In this example, we use Hal9 and Google Analytics to visualize and embed our own worldwide daily product use