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  • Python Collections

Results for "python collections"


  • 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: Preview
    Preview
    C

    Coursera

    GenAI for Algorithmic Trading

    Skills you'll gain: Generative AI, Financial Trading, Market Data, Portfolio Management, Technical Analysis, Market Trend, Real Time Data, Automation, Artificial Intelligence, Python Programming, Recurrent Neural Networks (RNNs), Applied Machine Learning, Risk Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    818 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, CI/CD, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Test Automation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Applied Machine Learning, Regression Analysis, Classification Algorithms, Statistical Methods, Linear Algebra, Probability

    4.4
    Rating, 4.4 out of 5 stars
    ·
    91 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Visualization with OpenAI API: Generate code with GenAI

    Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Data Visualization, Data Visualization Software, ChatGPT, Matplotlib, Seaborn, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Natural Language Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization using Plotnine and ggplot

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    117 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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
    ·
    450 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Programming Fundamentals in Kotlin

    Skills you'll gain: Kotlin, Object Oriented Programming (OOP), Programming Principles, Android Development, Data Structures, Computer Programming, Mobile Development, Integrated Development Environments, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    343 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    A Practical Introduction to Test-Driven Development

    Skills you'll gain: Test Driven Development (TDD), Unit Testing, Test Automation, Test Case, Development Testing, Software Testing, Mockups, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Neural Networks, Robotics, Machine Learning Algorithms, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    583 reviews

    Advanced · Course · 1 - 3 Months

Searches related to python collections

python scripting: dates, classes and collections
1…737475…137

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

  • Specialized Models: Time Series and Survival Analysis: IBM
  • GenAI for Algorithmic Trading: Coursera
  • Supervised Machine Learning: Regression: IBM
  • Web Applications and Command-Line Tools for Data Engineering: Duke University
  • Machine Learning Basics: Sungkyunkwan University
  • Data Visualization with OpenAI API: Generate code with GenAI: Coursera
  • Data Visualization using Plotnine and ggplot: Coursera
  • Object Localization with TensorFlow: Coursera
  • Supervised Machine Learning: Classification: IBM
  • Programming Fundamentals in Kotlin: Meta

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