machine-learning in Python
33 reviews
- 2 profiles
- 2 categories
Average star rating
4.7
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machine-learning in Python
machine learning support vector machine (SVMs), and support vector regression (SVRs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.
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machine-learning in Python Reviews
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Prabakar S.
Project Engineer at Unilogic Technologies Pvt LtdMachine Learning Era
Packages like Sci-kit learn and Keras are very useful for fast deployment in the production line. Deep Learning in computer vision shows a considerable result. With a huge amount of data, Python Machine Learning frameworks help us to develop faster and reduce our development time. Frameworks like Tensorflow, caffe, pytorch are very effective in deep learning development and deployment.
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Rajat W.
Technical Specialist at ShellGreat Language for Machine Learning
A lot of modules available for machine learning, just have to prepare the data as per the requirement and then the modules take care of algorithm
BS
Bryce S.
Machine Learning Engineer at K&M Systems, Inc.The simplicity of using python for machine learning
I like how simple python is to use as well as the amount of libraries that are already jn existence to help with reducing the time of development.
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