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Machine Learning with Python

Course Highlights

machine learning is the pillar of artificial intelligence projects and today industry is heading towards ai projects from traditional software project. today, every organization wants better personalization, smarter recommendations, and improved search functionality to enhance their user experience and creating value across many industries.

the basic difference between ai driven project and traditional project lies in the technology stack, the skills required for an ai-based project, and the necessity of deep research. to implement your ai aspirations, you should use a programing language that is stable, flexible, and has tools available. python offers all of this, which is why we see lots of python ai projects today. benefits that make python the best fit for machine learning and ai-based projects include simplicity and consistency, access to great libraries and frameworks for ai and machine learning (ml), flexibility, platform independence, and a wide community. these add to the overall popularity of the language.

affluenz it academy will make you a machine learning expert who will have detailed insight on focus on deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks- that have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation etc. that you can very well design, build and develop using python programming language

Duration - 4 Weeks

    Module 1 - introduction to machine learning

    Module 2 - types of learning algorithms

    Module 3 - machine learning techniques

    Module 4 - data science with python

    Module 5 - python environment setup and essentials

    Module 6 - live project on big data & hadoop

    Module 7 - certification & closure

Duration - 8 Weeks

    Module 1 - introduction to machine learning

    Module 2 - types of learning algorithms

    Module 3 - machine learning techniques

    Module 4 - advanced machine learning features

    Module 5 - data science with python

    Module 6 - python environment setup and essentials

    Module 7 - advanced python

    Module 8 - programming with python

    Module 9 - live project on python

    Module 10 - certification & closure