Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 50+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
I came to the platform with no experience and now I am knowledgeable in Machine Learning with Python. No easy thing I must say, the sessions are challenging and go to the depths. I looked at graduate... Read More
This is one of the best of investments you can make with regards to career progression and growth in technological knowledge. I was pointed in this direction by a mentor in the IT world who I highly... Read More
For investors in the currency markets, fundamental analysis means analyzing the market using non-technical sources like news and other events. Furthermore, in today's FX Market, one of the most consistency news pieces that resort in a very sharp movement in the forex market is the US Non-farm payroll(NFP).
In this big data project, we want to measure by how much NFP has triggered moves in past markets. We will analyze the news numbers versus the price movement that it resulted in. This information can be very useful to gauge by how much the market will move in the event of any future news. This will enable investors to make splits seconds decision as to where to enter the market and what target points should be expected in the event of NFP news.
While the data prepared from this big data project using apache spark will be a basis for a machine learning predictive system, we will be focusing on the machine learning portion of this class in other upcoming projects. This class will be on how to gather and prepare data for this purpose of inference and prediction.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this project, we are going to talk about insurance forecast by using regression techniques.
In this project, we will look at two database platforms - MongoDB and Cassandra and look at the philosophical difference in how these databases work and perform analytical queries.