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 Bangor

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 Bangor, chennai and europe countries. You can find many jobs for freshers related to the job positions in Bangor.

  • 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 Bangor
Machine Learning Can a machine, like a human, learn from skills or previous data? So here's where Machine Learning comes in. Anyone who completes this course can expect a typical salary increase of 48% and be hired by one of our 100+ hiring employers. Machine learning focuses on the development of computer algorithms that can access data and learn on their own. Machine learning is the study of computational algorithms that can automatically improve witpracticese and is implemented as part of artificial intelligence. As a result of the increased demand, experts have been able to land the highest-paying positions. . You'll need data training capabilities, algorithm basics, advanced, automation, and iterative processes, ensemble modeling, and scalability to build a strong ML (machine learning) system. 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. An overview of artificial intelligence and machine learning, fundamental principles for machine learning, data pre-processing, feature extraction, regression, logistic regression, nave Bayes, decision trees, kernel methods, and support vector machine and k-means and hierarchical clustering are among the topics covered in this course.

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 Bangor

 courses in Bangor
high structures up to 5 storeys will only be respectable where it's demonstrated that they act as a corner structure which aid legibility Bangor Town Centre Masterplan • Development along Queen’s Cortege shall be harmonious with the height of the being structures • The external façade of the development shall reflect the fine pattern and tradition of the Town Centre 3. Due to changes in vacation trade, lack of city centre investment and the growth of domestic and retail centres along the Bangor ring road area, vacation trade has significantly declined in the once 30 times. An Advisory Group including representatives from the Department of the Environment formally known as ‘ Planning Service ’), Roads Service, tagged representatives from North Down Borough Council Town Centre Management and Chamber of Trade, and The Northern Ireland Housing Executive( NIHE) was established. Applicable specific issues include • To apply farther development of Bangor’s seafront including farther development of Pickie Family Fun Park; • further effective support for original business growth to increase tourism profit and caller figures;. Background to the Masterplan As a result of the considerable deterioration of corridor of Bangor city Bangor Town Centre Masterplan centre, North Down Borough Council have historically considered ways and means of redesigning Bangor as an seductive place to visit, shop and live. Whilst the Council had gradationally erected up a portfolio of crucial city centre spots within Bangor, re development of these spots has been hampered by an egregious lack of backing. Following these designations, North Down Borough Council transferred lands at Queen’s Cortege to private interests for redevelopment eventuality. Original Landscape Policy Area LLPA designations( BR31 Wilsons Point) are considered to be of topmost amenity value, geography quality and original significance and thus defended from damaging development. Despite the downcast curl, Bangor city centre still retains a rich architectural heritage and integrity, range of rest installations and a robust domestic request. Detailed discussion with individualities and statutory bodies was commenced beforehand on in the Masterplan process.

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