Machine Learning Training by Experts

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Our Training Process

Machine Learning - Syllabus, Fees & Duration

Module 1 : CORE PYTHON

  • Short history
  • Introduction
  • Features of Python
  • Python2 Vs Python 3
  • Python Installation
  • Python Interpreter
  • How to Run Python
  • Basic Syntax
  • Python Identifiers, Keywords and Indentation Rules
  • Type Checking
  • Input, Output, Variables, Data Type and Datatype Casting

Module 2 : MACHINE LEARNING

  • Data Analysis
  • Data Visualization
  • Data Classification
    • Supervised Learning
    • Unsupervised Learning

Module 3 : SUPERVISED LEARNING

  • Classification
    • K-Nearest Neighbours
    • Decision Tree
    • Naive Bayes
    • Logistic Regression
    • Support Vector Machine
    • Random Forest
    • Logistic Regression
  • Regression
    • Single Linear Regression
    • Multiple Linear Regression

Module 4 : UNSUPERVISED LEARNING

  • Clustering
    • Hierarchical Clustering
    • KMeans Algorithm Association

Module 5 : DATA PREPROCESSING

  • PCA
  • Dimensionality reduction
  • Correlation
  • Features Extraction Algorithm

Download Syllabus - Machine Learning
Course Fees
10000+
20+
50+
25+

Machine Learning Jobs in Bangalore

Enjoy the demand

Find jobs related to Machine Learning in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Bangalore, chennai and europe countries. You can find many jobs for freshers related to the job positions in Bangalore.

  • Machine Learning Engineer
  • Data Architect
  • Data Engineer
  • Artificial Intelligence Analyst
  • Data Mining Specialists
  • BigQuery Engineer
  • Machine Learning Specialist
  • Data Manager
  • Advanced Analytics Engineer
  • Data Scientist

Machine Learning Internship/Course Details

Machine Learning internship jobs in Bangalore
Machine Learning Candidates will acquire the fundamental concepts and intuition underpinning modern machine learning algorithms, as well as a more formal knowledge of how, when, and why they work, in this course. Anyone who completes this course can expect a typical salary increase of 48% and be hired by one of our 100+ hiring employers. Image recognition, speech recognition, traffic prediction, product recommendations, self-driving cars, and other applications of machine learning are just a few examples. Machine learning is the most in-demand position in the information technology industry right now. Machine learning focuses on the development of computer algorithms that can access data and learn on their own. As a result of the increased demand, experts have been able to land the highest-paying positions. By enrolling in NESTSOFT machine learning classes, you will gain exposure to industrial projects or machine learning certification from a specific area. Machine Learning Engineer, Data Architect, Data Manager, Machine Learning Specialist, and more job profiles are available to machine learning certification holders. The student will be able to create and apply pattern classification algorithms to categorize multivariate data, create and apply regression algorithms to uncover correlations between data variables, and use reinforcement learning methods to operate complicated systems after finishing the course. We live in a world surrounded by humans who can study everything using their abilities and learning abilities, as well as machines that follow our directions.

List of All Courses & Internship by TechnoMaster

Success Stories

The enviable salary packages and track record of our previous students are the proof of our excellence. Please go through our students' reviews about our training methods and faculty and compare it to the recorded video classes that most of the other institutes offer. See for yourself how TechnoMaster is truly unique.

List of Training Institutes / Companies in Bangalore

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 courses in Bangalore
Rajgopalan, Dr. However, while the Indian financial coverage changed into hberalised from the mid-Eighties and greater perceptibly after 1991, it changed into the lnfomiation Technology industries that commenced to set up themselves in Bangalore basically to faucet the available expert skills, and to utilize the town's current base as a distinguished centre for excessive era industries. This studies objectives to apprehend the motives for Bangalore's achievement in attracting each overseas and home IT industries (in particular among the mid-i 980s, while the Indian financial system confirmed the initial symptoms and symptoms of starting up, and the mid-I 990s), and investigates the quantity to which the town can hold to be the maximum favored region for IT enterprise withinside the country. This paper indicates that an knowledge of poverty in towns together with Bangalore (frequently called India`s Silicon Valley) calls for greater atten- tion to the governance procedures wherein specific organizations compete for public invest- ments and guide. net. Poor organizations go through demolition, resettlement, accelerated land charges and a governance machine in which their neighborhood consultant shape has little power. Three studies hypotheses were examined on this studies examine. The 2d proposes that the achievement of Bangalore in attracting the IT industries is because of a synergy of factors, which consist of beneficial authorities policies, availability of professional professionals, and neighborhood presence of studies institutes and laboratories. Meanwhile, the publicly sponsored “mega-projects” in Bangalore do little to guide the neighborhood economies that are so critical for the town`s prosperity; indeed, as this paper describes, many serve to disrupt them. The 0.

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