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  • Python Implementations


Results for "python implementations"


  • W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    328 reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    Duke University

    Cloud Data Engineering

    Skills you'll gain: Cloud-Native Computing, Software Engineering, Distributed Computing, Cloud Storage, Extract, Transform, Load, Google Cloud Platform, Big Data, Cloud Computing, Serverless Computing, Cloud Technologies, Data Lakes, Data Pipelines, Amazon Web Services, Command-Line Interface, Python Programming, Data Governance, NumPy, Rust (Programming Language)

    4.1
    Rating, 4.1 out of 5 stars
    ·
    92 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Analysis Using Pyspark

    Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    316 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    GenAI for Data Analysis : OpenAI Assistant API

    Skills you'll gain: OpenAI API, Prompt Engineering, Data Analysis, Generative AI, Data Visualization Software, Analysis, Data Manipulation, Artificial Intelligence, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Build an expense tracker app in Django

    Skills you'll gain: Django (Web Framework), Web Applications, Back-End Web Development, Expense Management, Application Development, Database Application, Data Visualization, Business Process Automation, Chart.js, Python Programming, Data Modeling, Data Security, GitHub, Javascript, Git (Version Control System)

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Visualizing Filters of a CNN using TensorFlow

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    84 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • M

    Meta

    Meta Marketing Science Certification Exam

    Skills you'll gain: Interviewing Skills, Marketing Analytics, Registration, Social Media Marketing, Digital Marketing, Data Analysis, Professional Networking, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    225 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Introduction to FastAPI framework

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

    2.5
    Rating, 2.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Codio

    Getting Started with Generative AI APIs

    Skills you'll gain: OpenAI API, Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, File Management, Application Programming Interface (API), Embeddings, Classification Algorithms, Application Development, Transfer Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

1…888990…158

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

  • Machine Learning for Data Analysis: Wesleyan University
  • Cloud Data Engineering: Duke University
  • Data Analysis Using Pyspark: Coursera
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Foundations of Neural Networks: Johns Hopkins University
  • GenAI for Data Analysis : OpenAI Assistant API : Coursera
  • Build an expense tracker app in Django: Coursera
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Visualizing Filters of a CNN using TensorFlow: Coursera
  • Meta Marketing Science Certification Exam: Meta

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