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Our Python programmers are well-versed with the latest tools and technologies such as Flask, Jupyter Notebook, Cython and NetworkX to name a few. You can achieve fast prototyping and a robust experimentation cycle with our experienced and dedicated Python developers.
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Microsoft Azure Machine Learning Studio is an interactive data science tool that allows you to build, test and deploy predictive analytics models on your data. Softweb Solutions has achieved Microsoft’s Azure Red Carpet Partner certification, which means you get the best Azure experts to work on your projects.
Amazon ML allows you to create machine learning models using its visualization tools and wizards, thus eliminating the need to use complex machine learning algorithms. Softweb Solutions also has AWS partner certification, so when you work with us, you are in good hands.
It is a technology platform that relies on machine learning and natural language processing to gain insights from a bulk of unstructured data. Watson can answer some your most pressing questions and extract a great deal of information by analyzing key information from all the documents.
It is a simple and efficient tool for data analysis and data mining useful for classification, regression, preprocessing, model selection, dimensional reduction and clustering. It uses algorithms like SVM, SVR, nearest neighbors, k-Means, spectral clustering, ridge regression, mean-shift, and more to carry out the processes.
SciPy is an open source Python library consisting of algorithms and mathematical tools that are used for technical and scientific computing. It includes modules for linear algebra, optimization, image processing, interpolation, integration, FFT, special functions, and other tasks in engineering and science.
It is an open source software library that uses data flow graphs to carry out numerical computation. It is used by several research and production teams for various perceptual and language understanding tasks to increase flexibility and maximize performance.
It is a Python library enabling you to distinguish, optimize, and evaluate mathematical expressions, including multi-dimensional arrays with proficiency.
It is an R package, which offers a light-weight front-end to use Apache Spark from R. SparkR supports several operations including but not limited to selection, filtering, and aggregation through distributed data frame implementation. It also supports distributed machine learning with the use of MLlib.
This programming language supports a multi-paradigm numerical computing environment. MATLAB lets you perform matrix manipulation, data and function plotting, algorithm implementation, building user interfaces, and interacting with programs that have used languages such as C, C#, C++, Fortran, Python, and Java.