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  • Practical Python Implementation E Commerce

Results for "practical python implementation e-commerce"


  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    Tecnológico de Monterrey

    Fundamentos del emprendimiento en la empresa familiar

    Skills you'll gain: Value Propositions, Ideation, Market Opportunities, Entrepreneurship, New Product Development, Business Modeling, Innovation, New Business Development, Business Development, Business Strategies, Business Leadership, Presentations, Customer Insights, Succession Planning, Trend Analysis, Leadership

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Financial Insights and Analysis with QUILL

    Skills you'll gain: Generative AI, Financial Data, Financial Analysis, Data-Driven Decision-Making, Financial Statements, Text Mining, Market Intelligence, Trend Analysis, Investment Management, Financial Market, Artificial Intelligence, Analysis, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    파이썬의 응용 소셜 네트워크 분석

    Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Predictive Analytics, Predictive Modeling, Pandas (Python Package), Matplotlib, Probability Distribution, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Bending the Curve: Climate Change Solutions 3

    Skills you'll gain: Climate Change Mitigation, International Relations, Sustainable Development, Climate Change Adaptation, Consumer Behaviour, Environmental Policy, Pollution Prevention, Sustainable Technologies, Economics, Corporate Sustainability, Energy and Utilities, Governance, Environmental Regulations, Community Development

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    W

    Whizlabs

    Getting Started with Microsoft Entra

    Skills you'll gain: Role-Based Access Control (RBAC), Azure Active Directory, Authentications, Identity and Access Management, User Provisioning, Microsoft Azure, Multi-Factor Authentication, Authorization (Computing), Single Sign-On (SSO), User Accounts, Security Controls, Proxy Servers

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Practicing Collaborative, Continuous Improvement

    Skills you'll gain: Continuous Improvement Process, Education and Training, Process Improvement, Program Evaluation, Community Development, Systems Thinking, Collaboration, Professional Development, Diversity Equity and Inclusion Initiatives, Design, Research, Data Collection

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative AI, Transfer Learning, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Pearson

    Kubernetes and Cloud Native Associate

    Skills you'll gain: Cloud-Native Computing, Application Deployment, Kubernetes, Containerization, Serverless Computing, CI/CD, DevOps, Prometheus (Software), Infrastructure Security, YAML, Microservices, System Monitoring, Grafana, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Unity: Design & Implement Advanced Rendering Effects

    Skills you'll gain: Unity Engine, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C# (Programming Language), Linear Algebra, Scripting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

1…539540541…683

In summary, here are 10 of our most popular practical python implementation e-commerce courses

  • Applied Data Science: Clemson University
  • Fundamentos del emprendimiento en la empresa familiar: Tecnológico de Monterrey
  • GenAI for Financial Insights and Analysis with QUILL: Coursera
  • 파이썬의 응용 소셜 네트워크 분석: University of Michigan
  • Advanced Machine Learning and Deep Learning: Packt
  • Bending the Curve: Climate Change Solutions 3: University of California San Diego
  • Getting Started with Microsoft Entra: Whizlabs
  • Practicing Collaborative, Continuous Improvement: University of Michigan
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Introduction to Transformer Models for NLP: Unit 2: Pearson

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