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  • Python Data Representations

Results for "python data representations"


  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Machine Learning, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    172 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Generative AI Agents, LLM Application, Large Language Modeling, Ideation, Solution Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Predictive Modeling, Pseudocode, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Working with BigQuery

    Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Query Languages, Data Import/Export, Data Presentation, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    243 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Understanding and Applying Text Embeddings

    Skills you'll gain: LLM Application, Anomaly Detection, Google Cloud Platform, Text Mining, Applied Machine Learning, Natural Language Processing, Semantic Web, Unsupervised Learning, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    67 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    Universidad Austral

    Estadística aplicada a los negocios

    Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    769 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Statistics and Analysis Capstone

    Skills you'll gain: Statistical Analysis, Data Analysis, Data Presentation, Statistics, Business Analysis, Statistical Reporting, Analytical Skills, Technical Communication, Predictive Analytics, Exploratory Data Analysis, Regression Analysis, Microsoft Excel, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    439 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data-Driven Decision-Making, Data Analysis, Probability, Risk Modeling, Statistical Inference, Data Visualization Software, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 3 Months

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

  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Use AI as a Creative or Expert Partner: Google
  • Reinforcement Learning: University of Alberta
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Foundational Mathematics for AI: Johns Hopkins University
  • Practical Machine Learning: Johns Hopkins University
  • Working with BigQuery: Coursera
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Understanding and Applying Text Embeddings: DeepLearning.AI
  • Estadística aplicada a los negocios: Universidad Austral

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