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 Colorado Springs

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

  • 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 Colorado Springs
Machine Learning . Check out our NESTSOFT courses in Colorado Springs if you're interested in learning more about Machine Learning. As a result of the increased demand, experts have been able to land the highest-paying positions. Image recognition, speech recognition, traffic prediction, product recommendations, self-driving cars, and other applications of machine learning are just a few examples. By enrolling in NESTSOFT machine learning classes, you will gain exposure to industrial projects or machine learning certification from a specific area. 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. The instructors are industry experts that work for top companies and have 10+ years of expertise in their industries. 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. The Colorado Springs machine learning course covers the fundamentals of computational data processing, visualization, prediction, and current deep learning topics. Learning machine learning can help you advance your profession.

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 Colorado Springs

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 courses in Colorado Springs
Throughout the route of this Agreement, the District will post for OCR evaluation and approval any modifications to the plan permitted via way of means of OCR previous to their implementation. The District has additionally entered right into a partnership with The Learner First, an academic offerings organization that makes a speciality of entire gadget change, such as root motive evaluation. REPORTING REQUIREMENTS: (d) By May 31, 2016, the District will offer OCR the call and qualifications of the individual(s) detailed as Discipline Supervisor and the worker who will deal with proceedings acquired approximately subject and implementation of the notice requirement of object 1(a). The professional(s) will offer the District techniques for assembly the District`s dreams of making sure that subject is accurately and equitably carried out to all college students no matter race, enforcing this Agreement, tracking and comparing practices and stakeholder involvement. (b) Throughout its implementation of this Agreement, the District will seek advice from with and, as vital, hold an professional or professionals in non-discriminatory subject practices, in addition to records evaluation and research-primarily based totally techniques, to prevent discrimination towards African American and Hispanic college students with admire to college subject. By December 15, 2016, the District will offer OCR documentation of the finished exam of the foundation motive(s) referenced in object 1(c) and could offer for OCR`s evaluation and approval, a replica of the plan describing the corrective movement decided vital to deal with the diagnosed troubles. In addition, the District will discover a District worker(s) who will deal with proceedings from dad and mom, guardians, college students and others who will liable for receiving concerns, questions or proceedings from dad and mom, guardians, college students and others concerning the implementation of the District`s disciplinary regulations, and could post this worker(s) call and/or title, workplace deal with, e-mail deal with and cellphone variety on its website, in all college courses concerning subject, and in any notices that the District sends to dad and mom annually. (e) By September 1, 2016, September 1, 2017, and September 1, 2018, the District will offer documentation to OCR concerning its implementation of the notice necessities of object 1(a), and documentation concerning its implementation of 1(b), and (c), such as the identification of the professional(s) it has consulted with and/or retained, the enter acquired via way of means of the professional(s), any similarly deliberate examinations and/or determinations regarding the foundation motive(s) of the racial disparity withinside the subject of college students, and the ensuing modifications made via way of means of the District. Designation of Responsible Employee/Collaboration with Experts 1. The Discipline Supervisor will be liable for making sure that the implementation of the District`s regulations regarding subject is truthful and equitable.

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