auto machine
Time Series Analysis of Cryptocurrencies Using Deep Learning & Fbprophet
Artificial Intelligence is the root of both machine learning & deep learning, machine learning is a subset of artificial intelligence and deep learning is a subset of machine learning in that flow. Deep learning plays an important role in the advancement of artificial intelligence in many ways, using such an important feature for the prediction of data on daily basis gives better results and also helps in the understanding of various neglected sides. The cryptocurrency has been evolved and grown to a very large amount, estimating to a billion-dollar industry. Understanding such huge digital currency is difficult and also to estimate the change in trend is important, as a change in trend can lead to profit or loss of a particular cryptocurrency. The number of cryptocurrencies over the year has increased with new currency coming out, this introduction of digital currency can tell the demand of them in the market, due to the non-presence of such currency it becomes difficult to track the change, this is where deep learning would come in handy.
r/MachineLearning - [Project] I made a dashboard for auto machine learning
For the dashboard itself I used Dash a python framework for web application. All the styling is done with some css (I am definitely not an expert in that though it was new for me!). Graphs are done with plotly express (again with some css styling) . The hardest part was to adapt my machine learning code part to the dash board, split pipelines etc. And understand all the callback functions etc to make it work interactively!