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Results for "scikit learn (machine learning library)"

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, 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: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Project Managers: A Practical Introduction

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, ChatGPT, Project Management, LLM Application, Project Management Life Cycle, Case Studies, Work Breakdown Structure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Project Documentation, Image Quality, Machine Learning, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.7K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Responsible AI, OpenAI, ChatGPT, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, LLM Application, Strategic Leadership, Risking, Business Ethics, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Business Development, Deep Learning, Content Creation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Data Processing, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Cleansing, Data Transformation, Statistical Analysis, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 3 Months

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

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, NumPy, Probability & Statistics, Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Machine Learning, Interactive Data Visualization, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    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, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning, Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Data Manipulation, Pandas (Python Package), Machine Learning Methods, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Modelos predictivos con aprendizaje automático

    Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Python Programming, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Beginner · Course · 1 - 4 Weeks

1…909192…834

In summary, here are 10 of our most popular scikit learn (machine learning library) courses

  • Credit Default Prediction with Python: Apply & Analyze: EDUCBA
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Generative AI for Project Managers: A Practical Introduction: IBM
  • IBM Generative AI Fundamentals: IBM
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Google BigQuery for Data and ML Engineers: Pearson
  • PyCaret: Anatomy of Regression: Coursera Project Network
  • Data Science: Johns Hopkins University

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