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Results for "python development environment"


  • Status: Preview
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    B

    Ball State University

    Introduction to Programming

    Skills you'll gain: Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Scripting, NumPy, Algorithms, Debugging, Data Structures

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 3 Months

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

    Packt

    Advanced Python and Professional Development

    Skills you'll gain: Object Oriented Programming (OOP), Microsoft Visual Studio, Development Environment, Maintainability, Integrated Development Environments, Scalability, Programming Principles, Software Development Tools, Python Programming, Debugging

    Advanced · Course · 1 - 4 Weeks

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

    Packt

    Advanced Development, Python, and Deployment

    Skills you'll gain: Search Engine Optimization, Application Deployment, Cloud Hosting, Program Development, Object Oriented Programming (OOP), Servers, Web Servers

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Python for OOP - The A to Z OOP Python Programming Course

    Skills you'll gain: Programming Principles, Computer Programming, Software Design

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    ·
    358 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    826 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Project on PyQt - Creating a Calculator

    Skills you'll gain: Object Oriented Programming (OOP), Application Development, Development Environment, User Interface (UI), Python Programming, Integrated Development Environments, User Interface (UI) Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    451 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Jupyter, Data Import/Export, Pandas (Python Package), Data Transformation, Data Quality

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Dataflow: Qwik Start - Python

    Skills you'll gain: Data Pipelines, Dataflow, Data Processing, Google Cloud Platform, Development Environment, Cloud Development, Cloud Services, Program Development, Software Installation, Computer Programming Tools

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    291 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular python development environment courses

  • Introduction to Programming: Ball State University
  • Advanced Python and Professional Development: Packt
  • Advanced Development, Python, and Deployment: Packt
  • Python for OOP - The A to Z OOP Python Programming Course: Packt
  • Unsupervised Machine Learning: IBM
  • Supervised Machine Learning: Regression: IBM
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Project on PyQt - Creating a Calculator: EDUCBA
  • Supervised Machine Learning: Classification: IBM
  • Exploratory Data Analysis for Machine Learning: IBM

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