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 Australia

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

  • 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 Australia
Machine Learning 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. 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. 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. By enrolling in NESTSOFT machine learning classes, you will gain exposure to industrial projects or machine learning certification from a specific area. 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. Learning machine learning can help you advance your profession. You'll also have the opportunity to work as a data scientist, Machine Learning engineer, or data engineer for several years and learn from industry specialists. Anyone who completes this course can expect a typical salary increase of 48% and be hired by one of our 100+ hiring employers.

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 Australia

  • SouthAustralianInstituteOfBusiness&Technology(SAIBT) | Location details: City East CampusLevel 4 Brookman Building, North Terrace, Adelaide SA 5000, Australia | Classification: College, College | Visit Online: saibt.sa.edu.au | Contact Number (Helpline): +61 8 8302 2021
  • MonashCollegeCityCampus | Location details: 750 Collins St, Docklands VIC 3008, Australia | Classification: College, College | Visit Online: monashcollege.edu.au | Contact Number (Helpline): +61 3 9903 8700
  • LogitrainBrisbane|ITTrainingCourses | Location details: Level 5/345 Ann St, Brisbane City QLD 4000, Australia | Classification: Institute of technology, Institute of technology | Visit Online: logitrain.com.au | Contact Number (Helpline): +61 7 3172 6401
  • SoftLabsPtyLtd | Location details: Level 3/97 Pirie St, Adelaide SA 5000, Australia | Classification: Software company, Software company | Visit Online: softlabs.com.au | Contact Number (Helpline): +61 8 7099 9740
  • LogiKalTrainingInstitute | Location details: 8th Floor/41-43 St Georges Terrace, Perth WA 6000, Australia | Classification: Education center, Education center | Visit Online: logikaltraining.com | Contact Number (Helpline): +61 1300 564 452
  • IndustryConnect | Location details: 385 Bourke St, Melbourne VIC 3000, Australia | Classification: Software training institute, Software training institute | Visit Online: industryconnect.org | Contact Number (Helpline): +61 1300 508 817
  • DirectorInstitute | Location details: Aurora Place, Level 25/88 Phillip St, Sydney NSW 2000, Australia | Classification: Educational institution, Educational institution | Visit Online: directorinstitute.com.au | Contact Number (Helpline): +61 2 9487 2211
  • OktalSydac | Location details: 153 Wakefield St, Adelaide SA 5000, Australia | Classification: Manufacturer, Manufacturer | Visit Online: oktalsydac.com | Contact Number (Helpline): +61 8 8239 3600
  • BGLCorporateSolutions | Location details: Suite 2/606-608 Hawthorn Rd, Brighton East VIC 3187, Australia | Classification: Accounting software company, Accounting software company | Visit Online: bglcorp.com | Contact Number (Helpline): +61 1300 654 401
  • ViewportXR | Location details: Lvl 2/242 Murray Street, Perth WA 6000, Australia | Classification: Software company, Software company | Visit Online: viewport.com.au | Contact Number (Helpline): +61 8 6113 5148
  • SarinaRussoInstitute | Location details: 100 Eagle St, Brisbane City QLD 4000, Australia | Classification: Educational institution, Educational institution | Visit Online: sri.edu.au | Contact Number (Helpline): +61 1800 078 776
  • EmploymentHero | Location details: Level 2/439-441 Kent St, Sydney NSW 2000, Australia | Classification: Software company, Software company | Visit Online: employmenthero.com | Contact Number (Helpline): +61 1300 084 847
  • EclipseEducation | Location details: 182-184 Moorabool St, Geelong VIC 3220, Australia | Classification: Training centre, Training centre | Visit Online: eclipseeducation.com.au | Contact Number (Helpline): +61 3 5201 0569
  • TheAccountableLeader | Location details: Level 1/89 Pirie St, Adelaide SA 5000, Australia | Classification: Software company, Software company | Visit Online: theaccountableleader.com.au | Contact Number (Helpline): +61 1800 985 929
  • PowerBITraining | Location details: level 11/32 Walker St, North Sydney NSW 2060, Australia | Classification: Software training institute, Software training institute | Visit Online: powerbitraining.com.au | Contact Number (Helpline): +61 410 171 609
  • CentralInnovation | Location details: Level 3, Building 2/20 Bridge St, Pymble NSW 2072, Australia | Classification: Software company, Software company | Visit Online: centralinnovation.com | Contact Number (Helpline): +61 1300 423 372
 courses in Australia
So no matter where you come from and what your passion is - we are here to help you achieve it. Experience more career opportunities and earn a higher salary More than 89 percent of our undergraduate students and 93. And with a 5-star rating for social equality, we celebrate difference, and create new perspectives. You can defend the rights of refugees in or realize your startup dream. 8 Be part of a vibrant student community Our international and domestic students love studying on our beautiful campuses. We also invest in next-generation resource research and incorporate sustainable practices and theories into our training programs. Although we were physically separate, we remained connected to our university community through our education and friendship. Our students start work on graduation with a salary higher than the Australian average of 3. Here you can grow. When you study with us, you become part of something bigger.

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