12-12-2022, 01:18 AM
Build RealWorld MachineLearning Projects With Python In 2023
Learn to create Classical Machine learning Learning Algorithms in Python
New
Rating: 0.0 out of 5
(0 ratings)
380 students
1hr 39min of on-demand video
Description
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build and Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku).
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.
https://www.udemy.com/course/build-realworld-machinelearning-projects-with-python-in-2023/
Enjoy!
Learn to create Classical Machine learning Learning Algorithms in Python
New
Rating: 0.0 out of 5
(0 ratings)
380 students
1hr 39min of on-demand video
Description
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build and Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku).
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.
https://www.udemy.com/course/build-realworld-machinelearning-projects-with-python-in-2023/
Enjoy!