Learn Data Science: Practical Machine Learning Projects

Learn data scientist’s secret sauce technique, Learn to build real world data science and machine learning project,

Data science plays an important role in virtually all aspects of business operations and strategies. For example, it provides information about customers that helps companies create stronger marketing campaigns and targeted advertising to increase product sales. It aids in managing financial risks, detecting fraudulent transactions and preventing equipment breakdowns in manufacturing plants and other industrial settings. It helps block cyber attacks and other security threats in IT systems.

What you’ll learn

  • Build machine learning models.

Course Content

  • Introduction –> 1 lecture • 1min.
  • Project on Loan Prediction Analysis –> 5 lectures • 39min.
  • Project on Predicting employee attrition –> 5 lectures • 38min.
  • Project On Predicting Hotel Booking –> 4 lectures • 31min.
  • Project On Apparent temperature prediction –> 5 lectures • 37min.
  • Project On Consumer Complaint classification –> 5 lectures • 36min.

Learn Data Science: Practical Machine Learning Projects

Requirements

  • Knowledge of machine learning.

Data science plays an important role in virtually all aspects of business operations and strategies. For example, it provides information about customers that helps companies create stronger marketing campaigns and targeted advertising to increase product sales. It aids in managing financial risks, detecting fraudulent transactions and preventing equipment breakdowns in manufacturing plants and other industrial settings. It helps block cyber attacks and other security threats in IT systems.

From an operational standpoint, data science initiatives can optimize the management of supply chains, product inventories, distribution networks and customer service. On a more fundamental level, they point the way to increased efficiency and reduced costs. Data science also enables companies to create business plans and strategies that are based on an informed analysis of customer behavior, market trends and competition. Without it, businesses may miss opportunities and make flawed decisions.

Data science is also vital in areas beyond regular business operations. In healthcare, its uses include diagnosis of medical conditions, image analysis, treatment planning and medical research. Academic institutions use data science to monitor student performance and improve their marketing to prospective students. Sports teams analyze player performance and plan game strategies via data science. Government agencies and public policy organizations are also big users.