Machine Learning Training/Course 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 Tengah

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

  • 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 Tengah
Machine Learning The Tengah machine learning course covers the fundamentals of computational data processing, visualization, prediction, and current deep learning topics. 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. Machine learning is the study of computational algorithms that can automatically improve witpracticese and is implemented as part of artificial intelligence. 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. Check out our NESTSOFT courses in Tengah if you're interested in learning more about Machine Learning. The instructors are industry experts that work for top companies and have 10+ years of expertise in their industries. 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. 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 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.

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 Tengah

  • KomputerKasir,SoftwareKasir(POS),CCTV(New,Instalasi,Perbaikan).RakMinimarket,MejaKasir,PrinterBarcode,ScannerBarangDagangan,Konsultasi,CCTVP | Location details: 9W9P+6W2, Dusun II, Turus, Kemiri, Kabupaten Purworejo, Jawa Tengah 54262, Indonesia | Classification: Grocery store, Grocery store | Visit Online: | Contact Number (Helpline):
 courses in Tengah
The frame is conceived as a unrestricted- looped process comprising three crucial factors( 1) geography planning and design,( 2) provision of neighbourhood geography services and( 3) accumulation of geography values. Team Classic Design placed 100- yearold banyan trees in a community knot. Water for irrigation); Regulating services Heat mitigation, corrosion control, Stormwater and domestic waste water treatment, Abatement of noise pollution, Vector control, Flood hazard mitigation); Socio-artistic services( Mental and physical health, Sense of place, Aesthetic appreciation, Social relations, Educational values, Recreation, Heritage geographies and samples, Spiritual and religious fulfilments); Supporting services( conservation of soil quality, Provision of niche for species, Nutrient cycling, Water cycling). The proffers were also reviewed by agencies, professionals, and residers; and the reviews are also used to ameliorate the guidelines. The geographies of high- rise domestic estates “ neighbourhood geographies ”) are important spaces that impact a large population of residers through everyday gests . metropolises similar as Singapore illustrate the fast- paced and high- viscosity Asian megacity. 2" E) is a 720ha timber patch in Tengah; it was a former vill that had grown into a youthful secondary timber since the 1980s. Transforming secondary timbers into new domestic municipalities is a common land development pattern in Singapore. 5 Provisioning services( Fresh yield. “ From Kampong to Community ”( Classic Design) promotes the kampong spirit in Tengah, where a neighbourhood and a community with people coming from different artistic backgrounds can work, play, cultivate and live together.

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