Machine Learning Training and Certification Program in Nagpur with real-time live project

Machine Learning Training in Nagpur will explain the machine learning landscape and its uses in AI. At the end of the course, students will be able to implement the most suitable ML techniques in a suitable scenario; design, implement and validate common ML algorithms.


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Machine Learning Training in Nagpur with real-time practice and Live Project

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Machine Learning Training in Nagpur Course Overview

Machine learning sits at the intersection of programming and statistics. Machine learning explores the study and development of algorithms that can gain from and make predictions on data. These algorithms work by building a model from precedent inputs in order to settle on data-driven predictions or decisions expressed as yields, instead of following entirely static program instructions. Within the field of data analytics, machine learning is a technique used to devise complex models and algorithms that loan themselves to expectation. These diagnostic models permit researchers, data scientists, engineers, and investigators to “deliver reliable, repeatable decisions and results” and reveal “shrouded insights” through learning from authentic relationships and patterns in the data

Prerequisites for Machine Learning Training in Nagpur

To attend this course you must have hands-on, the experience of object-oriented programming, ideally, Python and experience in other languages, including R, have been very successful. If you are not fully familiar with such topics, please make sure you have some practice before the course starts.

Training from professional Machine Learning Programer

Appzmine Machine Learning Expert has been implementing professional intelligence application for many years. Those consultants write and teach our Machine Learning training courses, so their experience and expertise directly informs course content
Machine Learning Training in Nagpur Course Content
Introduction to Artificial Intelligence and Machine Learning
  • Artificial Intelligence
  • Machine Learning
  • Machine Learning algorithms
  • Applications of Machine Learning
Approach of Machine Learning
  • Supervised learning
  • Unsupervised learning
  • Semi-supervised and Reinforcement learning
  • Bias and variance trade-off
  • Representation learning
Data Preprocessing
  • Data preparation
  • Feature engineering
  • Feature scaling
  • Datasets
  • Dimensionality reduction
Math and statistics concepts

  • Concepts of linear algebra
  • Eigenvalues, eigenvectors, and eigendecomposition
  • Introduction to Calculus
  • Probability and statistics
  • Regression and its types
  • Linear regression
  • Equations and algorithms
  • Meaning and types of classification
  • Logistic regression
  • K-nearest neighbors
  • Support vector machines
  • Kernel support vector machines
  • Naive Bayes
  • Decision tree classifier
  • Random forest classifier
Unsupervised learning, Clustering
  • Clustering algorithms
  • K-means clustering
Introduction to Deep Learning
  • Meaning and importance of Deep Learning
  • Artificial Neural Networks
  • TensorFlow

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Why Chooce Us

  • Training from professional Machine Learning developers
  • 10 years of experience
  • Training and Internship combined
  • Real-Time Development experience
  • Fully Equapaid Lab, With AC & WIFI Internet available
  • Support and Careers Advice
  • We Offer Quality Training
  • and so much more…