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  • Data Quality Machine Learning


Results for "data quality machine learning"


  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Validate Multimodal Data: Ensure Quality

    Skills you'll gain: Data Integrity, Verification And Validation, Reconciliation, Debugging, Auditing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Transform Data: Cleanse, Encode, Validate

    Skills you'll gain: Data Cleansing, Data Transformation, Data Preprocessing, Data Wrangling, Data Quality, Data Manipulation, Feature Engineering, Data Validation, Pandas (Python Package), Predictive Modeling, Exploratory Data Analysis, Quality Assurance, Descriptive Analytics, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    747 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    947 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

1234…834

In summary, here are 10 of our most popular data quality machine learning courses

  • Machine Learning: O.P. Jindal Global University
  • Validate Multimodal Data: Ensure Quality: Coursera
  • Engineer, Validate, and Govern ML Data: Coursera
  • Transform Data: Cleanse, Encode, Validate: Coursera
  • Machine Learning in Production: DeepLearning.AI
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Build & Evaluate Decision Trees for ML: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera

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