Machine Learning
- Created By classgenie
- Last Updated April 22nd, 2022
Course Description
Learning machine learning is a smart move for anyone wanting to advance their career in the field of computer science. Learning about these high-tech machines is an excellent way to build your resume, especially if you’re hoping to work as part of a team that designs and develops software solutions to complex problems. What makes dealing with machines like this difficult is that they rely on advanced statistical techniques that can be exceedingly difficult to understand without being taught by professionals who specialize in such matters.
What Will i Learn?
Basic knowledge about other ML tools function, definitions, scope, arguments models and packages.
Techniques involved in machine learning along with data preprocessing mathematics background for ML, math refresher and regression.
Supervised and unsupervised machine learning.
Introduction to the deep learning procedures.
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Introduction to Machine Learning
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ML Algorithms
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Regression based Learning
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Clustering Based Learning
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The k-means clustering algorithm
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Natural language Processing
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Introduction to matplotlib
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Setting up opencv
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Loading and displaying images
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Introduction to Neural Networks
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Activation functions
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The duration of each Course varies from 4 weeks to 6 weeks.
All the Certificates and Project Letter will be issued within 15 days of Successful completion of the training.
To maintain good Student Trainer Ratio for effective learning, there will be maximum 40 students in a batch.
Classgenie hires expert trainers from Corporate Sector / Industry so that participants get industrial exposure.
