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  • Structuring Machine Learning Projects

Results for "structuring machine learning projects"


  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Foundations with Python: Build & Visualize

    Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Train Machine Learning Models

    Skills you'll gain: Jupyter, Unsupervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Predictive Modeling, Regression Analysis, Data Preprocessing, Machine Learning, Supervised Learning, Feature Engineering, Performance Tuning, Algorithms

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Evaluating and Debugging Generative AI

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, AI Workflows, Data Store, Version Control, Metadata Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Analysis, Applied Machine Learning, Business Strategy, AI Enablement, AI Product Strategy, Model Evaluation, Data Maintenance, Performance Tuning, Risk Mitigation, Performance Metric, Continuous Monitoring, Systems Integration, Stakeholder Communications

    4.4
    Rating, 4.4 out of 5 stars
    ·
    51 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    71 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

1…8910…793

In summary, here are 10 of our most popular structuring machine learning projects courses

  • Machine Learning with PySpark: Edureka
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • AI Foundations with Python: Build & Visualize: EDUCBA
  • Follow a Machine Learning Workflow: CertNexus
  • Train Machine Learning Models: CertNexus
  • Foundations of Machine Learning with Azure: Packt
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Evaluating and Debugging Generative AI: DeepLearning.AI
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • Interpretable Machine Learning Applications: Part 1: Coursera

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