Build Real World Data Science Project From Start



Build Real World Data Science Project & Machine Learning From Start

What You Will Learn

Real life case studies and projects to understand how things are done in the real world

Implement Machine Learning algorithms

Present Data Science projects to management

Explore how to deploy your machine learning models.

Have a great intuition of many Machine Learning models

Requirements

  • Basic knowledge of Data Science

Description

Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights which analysts and business users can translate into tangible business value.

More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.

Data Scientist Is Someone who specializes in the process of collecting, organizing and analyzing data so that the information therein can be conveyed as a clear story with actionable takeaways. As a general rule, data scientists are skilled in detecting patterns hidden within large volumes of data, and they often use advanced algorithms and implement machine learning models to help businesses and organizations make accurate assessments and predictions. The typical data scientist has deep knowledge of math and statistics, as well as experience using programming languages such as R, Python and SQL.

Who this course is for:

  • Beginners in Data Science

English
language

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