With our hands-on experience in R/Python programming languages, Apache Spark, Hadoop, Scikit-Learn data science tools, Tensorflow, and Keras & PyTorch deep-learning frameworks, we take care of end-to-end project development cycle.
We begin with investigating your business problem to find out if a machine learning enabled solution is what your business needs. If it’s an appropriate fit, we would gather all requisites to chalk out a roadmap for your project.
If you have an ample amount of data ready for analysis, we will study the patterns and correlations. If the data is not readily available, we will search for the related data online, if possible.
After the data is in good shape to read, we make use of learning model development to experiment and iterate the algorithm, until we reach the result.
Once the best fit prototype model to address your business problem is reached, we will integrate it with your application and extended support services to ensure its seamless working on a broader/different data set.