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Results for "lists (python)"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
    ·
    897 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Prompt Engineering with GPT: Programming for Custom Content

    Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Scripting, Python Programming, Test Case, Application Programming Interface (API), Application Development, Machine Learning, Software Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    73 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    U

    Universitat Pompeu Fabra of Barcelona

    Audio Signal Processing for Music Applications

    Skills you'll gain: Digital Signal Processing, Music, Music Theory, Open Source Technology, Python Programming, Time Series Analysis and Forecasting, NumPy, Mathematical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    294 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    340 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    204 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization

    4.2
    Rating, 4.2 out of 5 stars
    ·
    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Django Web Framework

    Skills you'll gain: Django (Web Framework), Web Development, Web Servers, Web Applications, Data Modeling, Back-End Web Development, MySQL, Application Security, Database Development, Model View Controller, Object-Relational Mapping, Application Frameworks, Database Management, Hypertext Markup Language (HTML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    665 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Text Mining, Unstructured Data, Quantitative Research, Data Visualization, Statistical Analysis, Analysis, Social Network Analysis, Data Presentation, Data Analysis, Statistical Methods, Data Mining, Interactive Data Visualization, Analytics, Correlation Analysis, Application Programming Interface (API), R Programming, Regression Analysis, Data Collection, Big Data, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Scientist Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    368 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular lists (python) courses

  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Prompt Engineering with GPT: Programming for Custom Content: Coursera
  • Audio Signal Processing for Music Applications: Universitat Pompeu Fabra of Barcelona
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Microsoft AI & ML Engineering: Microsoft
  • Deep Learning with Keras and Tensorflow: IBM
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Data Science Beyond the Basics (ML+DS): Coursera
  • Django Web Framework : Meta

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