• 48-49, 3rd floor, Jai Ambey Nagar, Opp. Jaipur Hospital, Tonk Rd, Jaipur
  • (+91) 8094336633
  • careers@zeetronnetworks.com

Machine Learning Training in Jaipur

  • Machine Learning

    Zeetron Network is one of the best machine-learning training organizations in Jaipur with experienced professionals and a dedicated team. Our machine-learning training in Jaipur will cover the complete standard module of machine-learning programming that is important for students and professionals to know to become a dedicated professional and train a student to be a professional person. Zeetron Networks’ machine-learning includes data mining, supervised and unsupervised learning methods including regression techniques & multiple classification techniques, statistical pattern recognition, artificial neural networks, computer vision, and complete knowledge related to Machine-Learning.

    Machine Learning online and offline training in Jaipur at Zeetron Networks includes the complete syllabus of machine-learning and other things. We will teach and focus on the concepts which are important to learn in order to get recognition as an expert professional of machine-learning in the IT sector.

    Zeetron Networks is a progressive machine learning internship company in Jaipur where you can learn, work as well as prepare yourself for your career specifics in the field of Machine Learning.

    Whenever you will search for machine learning training in Jaipur or a machine-learning internship company you will get robust solutions in Zeetron Networks. We not only train or provide internships but We provide machine-learning certification training and internship that is valuable in industry specifics.

    If you have any queries about our Machine Learning Course in Jaipur then feel free to visit us in our organization. Zeetron Networks will love to assist you in making the right choice in your career specifics.

  • Why Choose Us For Machine Learning?

    • Our Team caters the need, therefore, it provides nation-wide recognized certification to its students after the completion of their machine learning training Training.
    • We conduct Machine learning training classes in highly built latest smart labs with all necessary learning equipment.
    • It conducts online Machine learning training courses for making the learning experience more worth.
    • For engineering students who wish to build their career and want to learn something more valuable other than there course in their holidays, we host industrial training in Machine learning.
    • we provide the best corporate training in Machine learning to working professionals for improving skills in the technology of their want.
    • Variable time slots according to the student’s suitability.

Course Content

  • What is machine learning?
  • What is the use case of Machine learning?
  • Statistical learning vs. Machine learning
  • Iteration and evaluation
  • Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning
  • Different Phases of Predictive Modelling (Data Pre-processing, Sampling, Model Building, Validation)
  • Concept of Overfitting and Underfitting (Bias-Variance Tradeoff) & Performance Metrics
  • Types of Cross-validation(Train & Test, Bootstrapping, K-Fold validation, etc)
  • Introduction to CARET package
  • Introduction to H2O package
  • Linear Regression
  • Logistic regression
  • Generalization & Non Linearity
  • Recursive Partitioning(Decision Trees)
  • Ensemble Models(Random Forest, Bagging & Boosting(ADA, gbm etc))
  • Artificial Neural Networks(ANN)
  • Support Vector Machines(SVM)
  • K-Nearest neighbors
  • Naive Bayes
  • K-means clustering
  • Challenges of unsupervised learning and beyond K-means
  • Market Basket Analysis
  • Collaborative Filtering
  • Social Media – Characteristics of Social Media
  • Applications of Social Media Analytics
  • Metrics(Measures Actions) in social media analytics
  • Examples & Actionable Insights using Social Media Analytics
  • Text Analytics – Sentiment Analysis using R
  • Text Analytics – Word cloud analysis using R
  • Text Analytics - K-Means Clustering
  • Introduction of JAQL Approach
  • Understand the information stream
  • Understand Information ocean
  • Working with JAQL Language
  • Understand Data WareHousing
  • The requirement of Data Warehousing
  • Data Warehousing with Hive
  • Understand the Hive environment
  • Working with Hive Query Language
  • Perform DDL approach Through Hive
  • Perform a DML approach through Hive
  • Introduction of PIG
  • Requirement of Pig
  • Working with pig Script
  • Running and managing Pig Script
  • Perform Streaming Data Analytics through PIG
  • Pig Advantages and Disadvantages
  • Understand Flume methodology
  • Requirement of flume
  • flume advantages
  • working lab with flume
  • introduction of Sqoop
  • Requirement of Sqoop
  • advantages of Sqoop

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