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  • Understanding Python Library Documentations

Results for "understanding python library documentations"


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

    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Uso de bancos de dados com Python

    Skills you'll gain: SQL, Database Management, Relational Databases, Databases, Database Systems, Database Design, Query Languages, Web Scraping, Data Processing, Object Oriented Programming (OOP), Data Modeling, Data Storage, Python Programming, Web Development, Data Collection

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    First Steps in Python with Jupyter Notebooks

    Skills you'll gain: Git (Version Control System), Version Control, GitHub, Jupyter, Python Programming, Data Science, Generative AI, Development Environment, Computer Programming, Data Analysis

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Python Tkinter: Design, Build & Integrate GUIs

    Skills you'll gain: Event-Driven Programming, Payment Systems, User Interface (UI), UI Components, MySQL, Application Design, Database Application, Python Programming, Transaction Processing, Application Development, User Interface (UI) Design, Database Management, Debugging

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 3 Months

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

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Seaborn Python: Visualize & Analyze Data Distributions

    Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

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

    EDUCBA

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Designing Larger Python Programs for Data Science

    Skills you'll gain: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Software Design, Computational Thinking, Integration Testing, Computer Programming, Object Oriented Programming (OOP), Data Manipulation, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    An Introduction to Interactive Programming in Python (Part 2)

    Skills you'll gain: Application Development, Object Oriented Programming (OOP), Interactive Design, User Interface (UI), Animations, Game Design, Python Programming, Computer Programming, Data Structures, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Form Parsing with Document AI (Python)

    Skills you'll gain: Google Cloud Platform, Data Import/Export, Data Capture, Unstructured Data, Scripting, Data Manipulation

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Prep for Machine Learning in Python

    Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

    Advanced · Course · 1 - 3 Months

1…424344…635

In summary, here are 10 of our most popular understanding python library documentations courses

  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA
  • Uso de bancos de dados com Python: University of Michigan
  • First Steps in Python with Jupyter Notebooks: Coursera
  • Python Tkinter: Design, Build & Integrate GUIs: EDUCBA
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • Machine Learning with Python: Case Studies: EDUCBA
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
  • Statistics for Data Science with Python: EDUCBA
  • Designing Larger Python Programs for Data Science: Duke University
  • An Introduction to Interactive Programming in Python (Part 2): Rice University

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