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Machine Learning Certification Training Course

Machine Learning Certification Training Course

Machine Learning is the next big technology and is expected to have wide impact on our lives in coming years. It is a technology to make computers to think like human beings, to make decision making based on facts and data.

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Machine Learning Certification Training Overview

Machine Learning is the next big technology and is expected to have wide impact on our lives in coming years. It is a technology to make computers to think like human beings, to make decision making based on facts and data. Machine Learning and Artificial Intelligence are related fields.

We have designed the Machine Learning course content to suit the needs of engineering undergraduates and professional who want to pursue their career in the field of Machine Learning and Artificial intelligence in a number of domains.

 Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.

What benefits does this course provide ?

Leading businesses offer this course to their employees

Next Cohort Starts on

30th September 2024
 
 
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  • 00Days
  • 00Hours
  • 00Minutes
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    Benefits

    Machine Learning Certification Training  enhances skills, boosts career prospects, provides practical experience, increases earning potential, and improves business outcomes.
     

    A list of jobs and their associated pay is shown below:-

    Desire to get certified as Machine Learning Expert. ?

    Machine Learning Certification Training REVIEW

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    Certification Training ?

    Machine Learning Certification PATH

    CEH JOURNEY.

    Learn

    Practice

    Get Exam-Ready

    You're Now Certified!

    Study

    Build

    Take the Exam

    1: Learn

    2: Study

    3: Practice

    4: Build

    5: Get Exam-Ready

    6: Take the Exam

    7: You're Now Certified!

    Machine Learning Certification CURRICULUM

    Curriculum

    Module 01: Introduction To Python
    • Python Datatypes,
      Data Structure
      Functions
      Looping Techniques
      Python Modules
      Python Packages
      Libraries
      Installing Pandas,Numpy,Scipy,Scikit,Matplotlib etc.
    Module 02: Introduction to Data Mining
    • Stages of the Data Mining Process
      Data Mining Goals
      Information and Knowledge
      Advantages in Data Mining
      Related technologies – Machine Learning, DBMS, OLAP, Statistics
      Data Mining Techniques
      Role of Data Mining in Various Field like Artificial Intelligence and Internet of ThingsData Structure
      Functions
      Looping Techniques
      Python Modules
      Python Packages
      Libraries
      Installing Pandas,Numpy,Scipy,Scikit,Matplotlib etc.
    Module 03: Machine Learning

    Supervised & Unsupervised Learning
    Regression Analysis
    Linear Regression and Logistic Regression
    Classification
    Prediction
    Bayesian Classification Models
    Association rules
    Neural Networks
    Perceptron
    MLP
    SVM

    Module 04: Hands On Project

    Modelling Regression Analysis
    Creating a Clustering Model
    Loan Prediction Problem
    Working on Iris Data Set
    Titanic Data
    Boston Housing Data Set
    Predict Stock Prices
    Classifying MNIST digits using Logistic Regression
    Intrusion Detection using Decision
    CIFAR Data set
    ImageNet Data Set
    Credit Risk Analytics using SVM in Python

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      Machine Learning Certification

      Q.1 How to Become a Machine Learning Specialist?

      Start by gaining a strong foundation in programming (Python or R), mathematics, and statistics. Acquire hands-on experience with machine learning algorithms and tools through projects and internships. Complete relevant certification training, stay updated with industry trends, and build a portfolio showcasing your skills and practical experience.

      Q2. What Technical Skills Are Required to Apply for Machine Learning Certification?

      Proficiency in programming languages (Python or R), understanding of machine learning algorithms and models, experience with data preprocessing and feature engineering, familiarity with libraries and frameworks (e.g., TensorFlow, scikit-learn), and basic knowledge of statistics and linear algebra.

      Q3. What Are the Benefits of Being a Machine Learning Specialist?

      Being a Machine Learning Specialist enhances your ability to develop and deploy advanced predictive models, opens up high-demand job opportunities, increases earning potential, and positions you as a key contributor to innovative technology solutions and data-driven decision-making.

      Q.4 What is the validity of certera certification?

      Certera Certification is accepted globally and has been recognized by top notch companies.

      Machine Learning CERTIFICATION FAQS

      Frequently Asked Questions

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        What is Data Analytics Certification?

        Data Analytics Certification validates your skills in analyzing, interpreting, and visualizing data using various tools and techniques. It demonstrates your expertise in data analytics to potential employers.

        What are the different types of Data Analytics Certifications?
        • Google Data Analytics Professional Certificate
        • Certified Analytics Professional (CAP)
        • Tableau Desktop Specialist
        • Microsoft Certified Data Analyst Associate
        How do I prepare for the Data Analytics certification exams?

        Prepare by taking relevant training courses, practicing with real-world data, and studying certification guides and practice exams. Hands-on experience with data analysis tools is crucial.

        What is the format of the Data Analytics certification exams?

        Exams typically include multiple-choice questions, practical exercises, and case studies. They test your ability to apply data analytics techniques to real-world scenarios.

        How long is the Data Analytics certification valid?

        Certification validity varies by provider, typically ranging from two to three years. Recertification or continuing education may be required to maintain your certification status.

        Where can I take the Data Analytics certification exams?

        Exams can be taken online or at designated test centers, depending on the certification provider. Check the specific certification website for exam scheduling and locations.

        What are the prerequisites for Data Analytics certification?

        Prerequisites vary by certification but generally include a basic understanding of data analysis concepts, familiarity with relevant tools, and sometimes prior work experience or education in a related field.

        How much does Data Analytics certification cost?

        Costs vary by certification and provider. Check the certification provider’s website for current pricing and payment options.

        How can I check my Data Analytics certification status?

        You can check your certification status and access your certificate through the certification provider’s online portal after passing the exam.

        What should I do if I fail the exam?

        If you do not pass, review the exam results, focus on the areas where improvement is needed, and retake the exam when you feel prepared. Most certifications allow multiple attempts.

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