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  • Python Selenium Setup

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Results for "python selenium setup"


  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Visualization, Data Synthesis, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Introduction to FastAPI framework

    Skills you'll gain: Web Frameworks, Restful API, Application Programming Interface (API), Application Deployment, Software Documentation, JSON, Server Side, Python Programming, Data Validation

    2.5
    Rating, 2.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Integración y preparación de datos

    Skills you'll gain: Data Integration, Data Quality, Exploratory Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Compilation, Data Visualization, Data Analysis, Data-Driven Decision-Making, Data Science, Pandas (Python Package), Predictive Modeling, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    104 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • Status: Preview
    Preview
    U

    University of Leeds

    Programming for Data Science

    Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Jenkins - From Zero to Hero

    Skills you'll gain: Jenkins, CI/CD, SonarQube, Continuous Integration, DevOps, Apache Tomcat, Apache Maven, Docker (Software), Continuous Deployment, Continuous Delivery, Build Tools, Configuration Management, Software Configuration Management, Application Lifecycle Management, Shell Script, Application Deployment, Continuous Monitoring, Software Development, Software Development Tools, User Accounts

    3.8
    Rating, 3.8 out of 5 stars
    ·
    51 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    77 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Functions and Conditional Statements

    Skills you'll gain: Software Design, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    A

    Anthropic

    Introduction to Model Context Protocol

    Skills you'll gain: Model Context Protocol, Anthropic Claude, AI Workflows, Tool Calling, Systems Architecture, Program Development, Servers, Debugging, JSON, Development Environment, Document Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Classification Algorithms, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Balancing with Gen AI: Credit Card Fraud Detection: Coursera
  • Transfer Learning for NLP with TensorFlow Hub: Coursera
  • Introduction to FastAPI framework: Duke University
  • Integración y preparación de datos: Universidad de los Andes
  • Data Visualization using Plotnine and ggplot: Coursera
  • Programming for Data Science: University of Leeds
  • Jenkins - From Zero to Hero: LearnKartS
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Functions and Conditional Statements: Google

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