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  • Data Preprocessing And Feature Engineering


Results for "data preprocessing and feature engineering"


  • C

    Coursera

    Data Engineering: Pipelines, ETL, Hadoop

    Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Management, Data Analysis, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Clean Your Data

    Skills you'll gain: Data Preprocessing, Data Integration

    4.9
    Rating, 4.9 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Cleansing, Data Quality, Data Transformation, Data Validation, Data Access, Continuous Monitoring, Unit Testing, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Azure Data Engineering: Cosmos DB, SQL & Analytics

    Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Data Storage Technologies, Microsoft SQL Servers, Data Storage, Cloud Engineering, Data Architecture, Data Infrastructure, Performance Tuning, Query Languages, Database Design, SQL, NoSQL, Data Processing, Cloud Solutions, Analytics, Process Optimization, Data Modeling, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Feature Engineering 日本語版

    Skills you'll gain: Feature Engineering, Data Preprocessing, Data Transformation, Tensorflow, Data Pipelines, Data Store, Keras (Neural Network Library), Data Modeling, Real Time Data, Machine Learning, Deep Learning, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Starweaver

    GenAI Data Engineering and RAG Systems

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, AI Personalization, Data Engineering, System Monitoring, Generative AI, Prompt Engineering, Data Processing, AI Workflows, Scalability, Data Architecture, Data Pipelines, Embeddings, Performance Tuning, Continuous Monitoring, Database Systems, Talent Pipelining, Process Optimization, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    77 reviews

    Advanced · Course · 1 - 4 Weeks

  • D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    64 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    NVIDIA: Prompt Engineering and Data Analysis

    Skills you'll gain: Prompt Engineering, Plot (Graphics), Data Visualization, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Data Visualization Software, Data Analysis, Natural Language Processing

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

1…678…834

In summary, here are 10 of our most popular data preprocessing and feature engineering courses

  • Data Engineering: Pipelines, ETL, Hadoop: Coursera
  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • Clean Your Data: Google
  • Data Analysis with Python Project : University of Colorado Boulder
  • Parse & Normalize Data for ML Pipelines: Coursera
  • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera
  • Feature Engineering 日本語版: Google Cloud
  • GenAI Data Engineering and RAG Systems: Starweaver
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University

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