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  • Data Cleaning And Preprocessing For Ml

Results for "data cleaning and preprocessing for ml"


  • C

    Coursera

    From Raw to Ready: Data Preparation in Python

    Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Wrangling, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Data Processing, Data Access, Data Structures, Numerical Analysis

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Model Optimization, Model Training, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Architecture, Machine Learning, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Improve Data Quality and Automate Errors

    Skills you'll gain: Data Quality, Quantitative Research, Data Management, Quality Assurance, Data Cleansing, Quality Improvement, Continuous Quality Improvement (CQI), Quality Assessment, Data Validation, Data Pipelines, Key Performance Indicators (KPIs), SQL, Data Processing, Extract, Transform, Load, Performance Analysis, Continuous Monitoring, Automation, Trend Analysis

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Partition & Monitor AI Models Effectively

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Data Integrity, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    Logical Operations

    Power BI: Data Cleaning, Transformation, and Visualization

    Skills you'll gain: Power BI, Data Transformation, Data Manipulation, Data Wrangling, Data Visualization Software, Data Cleansing, Data Visualization, Data Storytelling, Microsoft Power Platform, Interactive Data Visualization, Data Presentation, Business Intelligence, Data Analysis, Data Analysis Software, Microsoft Excel, Data Quality, Query Languages, Microsoft PowerPoint, Microsoft 365, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Deployment, Version Control, Large Language Modeling, Predictive Modeling, Data Management, Dashboard, Interactive Data Visualization, Machine Learning, Record Keeping, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Clean and analyze social media usage data with Python

    Skills you'll gain: Social Media Analytics, Data Visualization, Plot (Graphics), Statistical Visualization, Matplotlib, Marketing Analytics, Social Media Marketing, Python Programming, Social Media, Data Presentation, Data Analysis, Data Wrangling, Exploratory Data Analysis, Data Cleansing, Seaborn, Content Performance Analysis, Jupyter

    ★ 4 (40) · Intermediate · Guided Project · Less Than 2 Hours

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Debug ML Code: Fix, Trace & Evaluate

    Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Preprocessing Unstructured Data for LLMs and RAG Systems

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LangChain, LLM Application, Embeddings, Application Frameworks, Vision Transformer (ViT), Data Quality

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Preprocessing Unstructured Data for LLM Applications

    Skills you'll gain: Retrieval-Augmented Generation, Unstructured Data, LLM Application, Large Language Modeling, Data Preprocessing, Metadata Management, Data Processing, JSON, Image Analysis, Data Transformation, Document Management, Vision Transformer (ViT)

    ★ 4.3 (15) · Beginner · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
1…567…834

In summary, here are 10 of our most popular data cleaning and preprocessing for ml courses

  • From Raw to Ready: Data Preparation in Python: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Databricks ML in Action: Packt
  • Improve Data Quality and Automate Errors: Coursera
  • Partition & Monitor AI Models Effectively: Coursera
  • Power BI: Data Cleaning, Transformation, and Visualization: Logical Operations
  • Track and Evaluate ML Model Experiments: Coursera
  • Clean and analyze social media usage data with Python: Coursera
  • Optimize and Manage Your ML Codebase: Coursera
  • Debug ML Code: Fix, Trace & Evaluate: Coursera

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