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Machine Learning & Artificial Intelligence

Machine Learning & Artificial Intelligence

AI and Data Science are predicted to unleash the next wave of digital disruption and organizations can opt in for the future today by attending our courses which covers a wide range of topics.

To become a Data Scientist, you need to start with Machine Learning and Artificial Intelligence. Every stage of the Data Science is covered by the introduction to Data Science, Machine Learning & AI (Python version) right from working with raw datasets to evaluating, building and deploying Machine Learning (ML) and Artificial Intelligence. These models will create efficiencies for the organization and lead to undiscovered details from your data.

The course starts with teaching students about using Python Libraries like Numpy, Pandas, and SciPy and to work with all types of data in Python which includes everything from data in a Relational Database to Google Images. You will learn about managing, visualizing data and transforming it in every conceivable way. This add somereal value to your historic and current data. You will then use libraries of Python like Scikit-Learn for understanding how to evaluate, deploy and build Artificial Intelligence (AI) and Machine Learning (ML) models which can predict the future as well as continuously learn from data as new events get unfolded.

Curated Machine Learning and Artificial Intelligence Courses​

  • Data Science with Python
  • Applied AI with Deep Learning
  • Desktop 10 Tableau Qualified Associate Training

Data Science and AI Master's Program​

  • Data Analyst
  • Data Analyst
  • Artificial Intelligence

At the end, you will gain the confidence to apply several AI and ML techniques to boost the efficiency of your organization and also to be prepared for future possibilities via predictive modeling.