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  • Practical Python Implementation

Results for "practical python implementation"


  • Status: Preview
    Preview
    U

    University of Michigan

    Программирование для всех (начало работы с Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Program Development, Computational Thinking, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    104 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Python Basic Structures: Lists, Strings, and Files

    Skills you'll gain: Computer Programming, Programming Principles, Data Import/Export, Data Structures, Integrated Development Environments, Python Programming, Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation

    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: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Python Object Basics: Functions, Recursion, and Objects

    Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Python Programming, Scripting, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    Programação para todos (Conceitos básicos de Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Algorithms, Debugging, Development Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Intermediate · 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: Free
    Free
    C

    Coursera

    Python Development with ChatGPT: Fullstack App Development

    Skills you'll gain: Application Programming Interface (API), Restful API, ChatGPT, Generative AI, JSON, Full-Stack Web Development, Application Deployment, Secure Coding, User Interface (UI), Python Programming, User Interface (UI) Design, Application Development, Back-End Web Development, Debugging

    3.6
    Rating, 3.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Программирование для всех (начало работы с Python): University of Michigan
  • Python Basic Structures: Lists, Strings, and Files: Codio
  • Machine Learning with Python: Diabetes Prediction: EDUCBA
  • Statistics for Data Science with Python: EDUCBA
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Python Object Basics: Functions, Recursion, and Objects: Codio
  • Programação para todos (Conceitos básicos de Python): University of Michigan
  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • Python Development with ChatGPT: Fullstack App Development: Coursera

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