Publicly Available Datasets for Data Science Projects
This article will introduce open source data science datasets for learning and exploration.
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This article will introduce open source data science datasets for learning and exploration.
Data Scientists often turn to famous deep neural networks such as ALEXNET and LENET to gain inspiration for designing neural networks for real world problems.
One of the key reasons that we often use deep learning is because we need to extract features that would effectively solve a machine learning problem.
Create an artificial neural network using Perceptron model, and use it for digit recognition and iris recognition.
Matplotlib is a cross-platform, data visualization and graphical plotting library for Python and its numerical extension NumPy. As such, it offers a viable open source alternative to MATLAB. Developers can…
NumPy – A Replacement for MatLab NumPy is often used along with packages like SciPy (Scientific Python) and Matplotlib (plotting library). This combination is widely used as a replacement for…
Business leaders or any one responsible for making decisions related to application of data science and business intelligence in any field need to have high level understanding about these, and…
Pakistan govt only gives incentives to rich investors and not to workers such as #developers, #engineers, technical #support engineers who are the real heroes that develop and support software products…
Data Science Gym is a great book that will get you started with mastering data science through a systematic set of practical exercises, and relevant background concepts.
Here are top ten reasons for choosing Greenplum for building your data science and business intelligence solution :- It is Open-Source, and completely free. Now considering licensing cost of proprietary…
Introduction There’s a lot of demand for companies and professionals who are experts in big data, because we are generating all kinds of data at greater pace than ever. Not…