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  • Bias And Fairness In Machine Learning Models

Results for "bias and fairness in machine learning models"


  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Deep Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Python Programming, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Processing, Data Visualization, Data Synthesis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Generative Model Architectures, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Data Analysis, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Import/Export, Machine Learning, Predictive Analytics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    64 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Manipulation, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Evaluating and Debugging Generative AI

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, Generative AI, Software Versioning, Data Store, Metadata Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular bias and fairness in machine learning models courses

  • Interpretable machine learning applications: Part 3: Coursera
  • Mining Quality Prediction Using Machine & Deep Learning: Coursera
  • Data Balancing with Gen AI: Credit Card Fraud Detection: Coursera
  • Clustering and Classification with Machine Learning in R: Packt
  • Natural Language Processing - Probability Models in Python: Packt
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Applied Machine Learning with Python: Edureka
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Interpretable Machine Learning Applications: Part 1: Coursera

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