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  • Python Data Science

Results for "python data science"


  • W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • K

    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Generative AI for Effective Recruiting & Hiring

    Skills you'll gain: AI Enablement, HR Tech, Artificial Intelligence, Ethical Standards And Conduct

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Geospatial Visualization, Cloud & Real-Time Pipelines

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Validate, Analyze, and Monitor ML Models

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    360 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Accelerate Model Training with PyTorch 2.X

    Skills you'll gain: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Deployment, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture

    Beginner · Course · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Build Interactive Maps

    Beginner · Course · 1 - 4 Weeks

  • Status: Job Ready
    Job Ready
    M

    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Cascading Style Sheets (CSS), Unix Commands, HTML and CSS, Git (Version Control System), API Testing, GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Getting Started with Vector Databases and AI Embeddings

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, Artificial Intelligence, Database Management Systems, Data Storage, Databases, Retrieval-Augmented Generation, Scalability, Information Architecture, Anomaly Detection, Unstructured Data

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular python data science courses

  • Regression Modeling in Practice: Wesleyan University
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • Apply Generative AI for Effective Recruiting & Hiring: EDUCBA
  • Geospatial Visualization, Cloud & Real-Time Pipelines: Coursera
  • Validate, Analyze, and Monitor ML Models: Coursera
  • Automate ML Pipelines for Peak Performance: Coursera
  • Unsupervised Machine Learning: IBM
  • Accelerate Model Training with PyTorch 2.X: Packt
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Build Interactive Maps: Coursera

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