MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

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MACHINE LEARNING COURSE FEES IN NAYPYIDAW

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SYLLABUS OF MACHINE LEARNING CERTIFICATION IN NAYPYIDAW

The following topics are covered in "Machine Learning"

Foundation:

Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies

Expert:

Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Choice of Machine Learning
  • Simple and Multiple Linear Regression
  • KNN etc...
  • Theory of Linear Regression
  • Hands on with use Cases
  • Naïve Bayes for text classification
  • New Articles Tagging
  • K-means Clustering
  • Tuning with Hyper Parameters
  • Popular ML Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML Algorithm
  • Ensemble Theory
  • Random Forest Tuning
  • Simple and Multiple Linear regression
  • KNN
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.
  • Basic ANN network for regression and classification
  • Tensorflow work flow demo and intro to deep learning

OFFERED MACHINE LEARNING COURSES IN NAYPYIDAW

MACHINE LEARNING TRAINING COURSE REVIEWS

ABOUT DATAMITES MACHINE LEARNING TRAINING IN NAYPYIDAW

Did you know that a Machine learning engineer is the top job opening according to Indeed.com? Because of its technological advancements and attractive career options, machine learning has recently gained a lot of attention. The digital change we're talking about in sectors like healthcare, retail, logistics, and manufacturing can be facilitated by pursuing a career in machine learning.

DataMites®, a top global provider of data science and machine learning training, offers efficient training that satisfies the demands of the sector's quick transition. Several countries, including South Africa, the Philippines, Saudi Arabia, the United Arab Emirates, the United Kingdom, and India, offer DataMites training services. We can assure you that using machine learning will be pleasurable because we have helped more than 50k pupils. Also, the International Association of Business Analytics Certification has praised the caliber of our courses.

The three best machine learning courses—Machine Learning Expert, Machine Learning Foundation, and Machine Learning with Python—all aid in your understanding of topics that are quite popular in the modern period. The DataMites® Machine Learning Certification Courses in Naypyitaw have earned the endorsement of the renowned International Association of Business Analytics Certification. DataMites® offers affordable real-time coaching services.

In Naypyitaw, we also offer three-phase, six-monthly machine learning courses, as well as online training.

  1. Phase 1: Applicants will be given outstanding self-study videos and resources to help them finish the curriculum and get ready for the next course.
  2. Phase 2 is the main Live Intensive Training phase, and it includes global certifications like the IABAC Machine Learning Certification in Naypyitaw as well as real-world capstone projects.
  3. Projects and the Career Ready Program make up Program Phase 3.

The following list includes some of the machine learning training courses we provide in Naypyitaw:

Machine Learning Expert  - Programmers need to make it possible for computers to learn on their own and generate output without the need for human input. As its name suggests, the Machine Learning Expert certification attests to your proficiency in data science, machine learning, and artificial intelligence. a continuous five-month course taught by a machine learning expert.

Machine Learning Foundation - The Foundation for Machine Learning - Beginners will learn about machine learning by enrolling in the Machine Learning Foundation course. This course covers dimensionality reduction, supervised and unsupervised learning, and machine learning approaches. The Machine Learning Foundation Courses should be finished in two months.

Machine Learning with TensorFlow - The open-source artificial intelligence toolkit TensorFlow creates machine learning models using data flow graphs to facilitate machine learning. TensorFlow is frequently used for classification, perception, discovery, prediction, and creativity. The "Machine Learning with Tensorflow" course will help you gain a better understanding of statistics, learn how to utilize Tensorflow, and develop machine learning models and algorithms using actual data. A five-month training program for Tensorflow machine learning has been created.

Machine Learning with Python - Python and machine learning Python is a general-purpose programming language that may be used to swiftly create machine learning testing prototypes and manage a number of difficult machine learning tasks. You learn how to design your own Machine Learning algorithms in the Python with Machine Learning course. This course covers the use of Python in data processing, statistics, algorithms, machine learning, and other areas. The five-month DataMites® Machine Learning with Python Training Program is now accepting applications.

Machine Learning using R - R, a potent machine learning framework, is used by the best data scientists in the world. The principles of machine learning, data processing for ML, ML algorithms, building, and training ML models, and a case study from the real world are all covered in this course. The R-based DataMites ML training program lasts for five months.

It has consistently had one of the fastest-expanding cities in Myanmar for the past ten years. Naypyitaw has been aggressively advancing its digital objectives. The price of DataMites® online machine learning courses in Naypyitaw can range from MMK 511,597 to MMK 1,534,791, depending on the course you decide to take. In the age of current technology, machine learning has become a vital part of numerous businesses and industries. The future seems to be quite promising.

Along with the machine learning course, DataMites also provides r programming course, data analyst, deep learning, artificial intelligence, data analytics, python training, mlops, power bi, tableau, data engineer and data science courses in Naypyitaw.

ABOUT MACHINE LEARNING COURSE IN NAYPYIDAW

FAQ’S OF MACHINE LEARNING COURSE IN NAYPYIDAW

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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