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  • Machine Learning Ml Algorithms

Results for "machine+learning+(ml)+algorithms"


  • Status: New
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    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization

    4.7
    Rating, 4.7 out of 5 stars
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    7.5K reviews

    Beginner · Specialization · 3 - 6 Months

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    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Simplilearn

    Linear Algebra for ML and Analytics Training

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    University of Glasgow

    6G Vision: ML, Intelligent Surfaces & Optical Networks

    Skills you'll gain: Wireless Networks, Emerging Technologies, Digital Communications, Communication Systems, Internet Of Things, Software-Defined Networking, Network Planning And Design, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Electronics Engineering, Zero Trust Network Access, Information Technology, Machine Learning, Trustworthiness

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Regression Analysis, Data Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
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    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Tensorflow, Metadata Management, Model Evaluation, Containerization, Distributed Computing

    Advanced · Course · 1 - 3 Months

1…91011…79

In summary, here are 10 of our most popular machine+learning+(ml)+algorithms courses

  • Python: Logistic Regression & Supervised ML: EDUCBA
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
  • Linear Algebra for ML and Analytics Training: Simplilearn
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • 6G Vision: ML, Intelligent Surfaces & Optical Networks: University of Glasgow
  • Google BigQuery for Data and ML Engineers: Pearson

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