Machine Learning Course
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Machine Learning Course Overview
Machine Learning Training in Bangalore
Machine Learning Training in Marathahalli is suitable for candidates to work with multiple industries like IT, health care, finance, and research. Before designing the models for machine learning it is essential to acquire the external data and internal data to train the machines for effective decision making. Especially in case of health care where accurate decisions are very imperative taking help from machine learning has proven records of the upward movement of the medical field towards advancement.
What is AI/ML course about?
Artificial Intelligence/Machine Learning is the best and top trending and most sought-after IT course globally. MNP Technologies has designed the best Machine Learning training in Bangalore, Marathahalli with the complete syllabus that covers from basic to advanced level of AI/Machine Learning Computing.
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Machine Learning Course Duration & Timings
Machine Learning is universally used to design Smart Devices, Virtual Personal Assistants, Prediction Computing and AI, etc. The computation takes large past data as input, process it through algorithms and produce a behavioural or reasoning output.
Studying Machine learning from MNP Technologies opens an ocean of opportunities. At a basic level, you will have a better understanding of the smart systems and tools that you interact with daily. And if you stick with the subject and study more, you can help create cutting edges AI applications, like the Google Self Driving Car, IBM’s Watson, Amazon Alexa, and many more.
Job Oriented MACHINE LEARNING
Certification Training Course with Real Projects-
Instructor-Led ML Online Classes
Machine Learning Course Syllabus
Chapter 1- Introduction to Data Analytics (Duration: 04:00:00 hrs)
Chapter 2- Introduction to R programming (Duration: 03:00:00 hrs)
Chapter 3- Data Manipulation in R (Duration: 04:00:00 hrs)
Chapter 4- Data Import techniques in R (Duration: 04:00:00 hrs)
Chapter 5- Exploratory data Analysis (Duration: 05:00:00 hrs)
Chapter 6- Basics of Statistics & Linear & Logistic Regression (Duration : 05:00:00 hrs)
Chapter 7- Data Mining: Clustering techniques, Regression & Classification (Duration : 04:00:00 hrs)
Chapter 8- Anova & Sentiment Analysis (Duration : 02:00:00 hrs)
Chapter 9- Data Mining: Decision Trees and Random Forest (Duration: 03:00:00 hrs)
Chapter 10- Project work (Duration: 10:00:00 hrs)
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