Machine Learning Expert Training Course in Bangalore | India

Machine Learning Expert

This course is an advanced version of Machine Learning after your base fundamental on Machine Learning is ready. This can enhance you to go to the next level having the expertise on other key Machine Learning mechanisms/techniques. Having this course will empower you to be the first choice for the Industry.

35,000 31,495

Courses Description


UPCOMING TRAININGS SCHEDULE

Machine Learning With Python Online Training

15th Sept to 14th Oct 2018 | Sat-Sun (5 Weekends) | 02:00 PM - 05:00 PM IST

27th Oct to 25th Nov 2018 | Sat-Sun (5 Weekends) | 02:00 PM - 05:00 PM IST

8th dec to 5th Jan 2018 | Sat-Sun (5 Weekends) | 02:00 PM - 05:00 PM IST


This course is an advanced version of Machine Learning after your base fundamental on Machine Learning is ready. This can enhance you to go to the next level having the expertise on other key Machine Learning mechanisms/techniques. Having this course will empower you to be the first choice for the Industry. The growth in terms of technology, working domains and attractive remunerations would be available.

  • Hold on Artificial Neural Network, Generation of Neural network with R
  • Betterment on Neural network accuracy with hidden layers
  • Knowledge on Connection weight in Neural network
  • Provision of best case studies for covered subjects
  • Courses Curriculum

    Lecture1.1 Types of ML algorithms

    Lecture1.2 Supervised and Unsupervised.

    Lecture1.3 Overview of Classification

    Lecture1.4 Regression and Clustering algorithms

    Lecture2.1 Supervised Machine Learning algorithms

    Lecture2.2 K-Nearest Neighbors (KNN) concept and application

    Lecture2.3 Naive Bayes concept and application

    Lecture2.4 Logistic Regression concept and application

    Lecture2.5 Classification Trees concept and application Unsupervised Machine Learning algorithms Clustering with K-means concept and application

    Lecture3.1 Advanced Data Mugging Preview

    Lecture3.2 Outlier Analysis

    Lecture3.3 Treating for missing values Preview

    Lecture3.4 Normalization vs Standardization of data

    Lecture4.1 Creating an application for Hiring Employee for MNC

    Lecture4.2 Setting up the project with ML workflow

    Lecture4.3 Data Preprocessing and statistical exploration

    Lecture4.4 Building, Training and evaluation of Machine Learning Model

    Lectures4.5 Packaging and deploying

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