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 Seattle

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

  • 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 Seattle
Machine Learning The Seattle machine learning course covers the fundamentals of computational data processing, visualization, prediction, and current deep learning topics. Check out our NESTSOFT courses in Seattle if you're interested in learning more about Machine Learning. 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. Machine learning is the study of computational algorithms that can automatically improve witpracticese and is implemented as part of artificial intelligence. By enrolling in NESTSOFT machine learning classes, you will gain exposure to industrial projects or machine learning certification from a specific area. Machine learning is the most in-demand position in the information technology industry right now. Image recognition, speech recognition, traffic prediction, product recommendations, self-driving cars, and other applications of machine learning are just a few examples. Machine learning focuses on the development of computer algorithms that can access data and learn on their own. Anyone who completes this course can expect a typical salary increase of 48% and be hired by one of our 100+ hiring employers. The instructors are industry experts that work for top companies and have 10+ years of expertise in their industries.

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 Seattle

  • (CanineBehaviorCenter,Inc)ObedienceClassInSeattle | Location details: 2812 NW Market St, Seattle, WA 98107, United States | Classification: Dog trainer, Dog trainer | Visit Online: caninebcenter.com | Contact Number (Helpline): +1 206-367-8071
  • LSTraining | Location details: 4100 Aurora Ave N, Seattle, WA 98103, United States | Classification: Personal trainer, Personal trainer | Visit Online: lstraining.net | Contact Number (Helpline): +1 206-880-1145
  • MultimediaResourceAndTrainingInstitute(MMRTI) | Location details: 808 E Fir St #135, Seattle, WA 98104, United States | Classification: Education center, Education center | Visit Online: mmrtiseattle.org | Contact Number (Helpline): +1 206-696-1381
  • AhimsaDogTrainingSeattle | Location details: 925 NW 49th St c, Seattle, WA 98107, United States | Classification: Dog trainer, Dog trainer | Visit Online: ahimsadogtraining.com | Contact Number (Helpline): +1 206-364-4072
  • SouthSeattleCollegeGeorgetownCampus | Location details: 6737 Corson Ave S, Seattle, WA 98108, United States | Classification: Training centre, Training centre | Visit Online: georgetown.southseattle.edu | Contact Number (Helpline): +1 206-934-5350
  • BelltownStrength&Conditioning | Location details: 2315 Western Ave, Seattle, WA 98121, United States | Classification: Gym, Gym | Visit Online: belltownstrength.com | Contact Number (Helpline): +1 206-717-2168
  • UWParamedicTraining | Location details: 400 9th Ave, Seattle, WA 98104, United States | Classification: , | Visit Online: uwpmt.org | Contact Number (Helpline): +1 206-521-1215
  • VirjCrossFit&FunctionalTraining | Location details: 14 Clay St, Seattle, WA 98121, United States | Classification: Gym, Gym | Visit Online: virjfitness.com | Contact Number (Helpline): +1 206-456-4199
  • SouthSeattleCollegeContinuingEducation | Location details: 6000 16th Ave SW, Olympic Hall 130, Seattle, WA 98106, United States | Classification: Education center, Education center | Visit Online: southseattle.edu | Contact Number (Helpline): +1 206-934-5339
  • MITAGS-West | Location details: 1729 Alaskan Way S, Seattle, WA 98134, United States | Classification: Trade school, Trade school | Visit Online: mitags.org | Contact Number (Helpline): +1 206-441-2880
  • MediationTrainingInstitute | Location details: 1000 1st Ave #1601, Seattle, WA 98104, United States | Classification: Mediation service, Mediation service | Visit Online: mediationworks.com | Contact Number (Helpline): +1 206-284-1943
  • SeattleKettlebellClub | Location details: 1716 21st Ave S, Seattle, WA 98144, United States | Classification: Physical fitness program, Physical fitness program | Visit Online: seattlekettlebellclub.com | Contact Number (Helpline): +1 206-280-4941
  • TheSeattlePersonalTrainer-PeterFeysa | Location details: 1530 Queen Anne Ave N, Seattle, WA 98109, United States | Classification: Personal trainer, Personal trainer | Visit Online: theseattlepersonaltrainer.com | Contact Number (Helpline): +1 206-914-9650
  • PackardPersonalTraining | Location details: 122 NW 78th St, Seattle, WA 98117, United States | Classification: Physiotherapist, Physiotherapist | Visit Online: | Contact Number (Helpline): +1 206-706-5638
  • KingCountyMetroNorfolkTrainingCenter | Location details: 3401 S Norfolk St, Seattle, WA 98118, United States | Classification: Government office, Government office | Visit Online: | Contact Number (Helpline):
  • 5RingsKali,JKD,PersonalTraining | Location details: 8815 Ravenna Ave NE, Seattle, WA 98115, United States | Classification: Martial arts club, Martial arts club | Visit Online: 5ringskalijkdpt.com | Contact Number (Helpline): +1 206-503-9674
 courses in Seattle
We use the facts on this file to persuade how the City of Seattle interacts with our buddies and to higher goal our outreach and engagement strategies. In total, we heard from 2,686 Seattle citizens that replicate our town`s broad diversity: over the telecellsmartphone, on-line and in person. Over the beyond decade, the town has grown rapidly, including a mean of approximately 4 thousand housing gadgets and 7 thousand human beings every year. These inequities have grow to be extra massive because the make-up of Seattle`s populace has changed. Since the Plan changed into first followed in 1994, the City has labored to deal with new human beings and companies, even as on the equal time seeking out approaches the town can stay livable for destiny generations. Made up of King, Snohomish, Pierce, and Kitsap Counties, this dynamic metropolitan area expects its populace to exceed 5 million via way of means of 2040. Citywide Planning Introduction Seattle 2035 4 Historically withinside the town of Seattle and for the duration of the nation, human beings had been denied equal get entry to to education, jobs, houses, and neighborhoods due to their race, class, disabilities, or different actual or perceived differences. In the years to come, Seattle expects to deal with a massive proportion of the area`s increase. While this facts indicates that we`re making extremely good strides in generation, a virtual hole nonetheless exists between our buddies. Seattle is a developing town.

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