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  • Python 20 For 20 Beginners

Results for "python%20for%20beginners"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Web Scraping With GPT: Translate Foreign News Headlines

    Skills you'll gain: Web Scraping, Real Time Data, OpenAI API, Natural Language Processing, Python Programming, Web Applications, Language Interpretation, Translation, and Studies, Application Development, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    Data Science for Professionals

    Skills you'll gain: Predictive Modeling, Data Visualization, Predictive Analytics, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Statistics, Data Wrangling, Data Cleansing, Data Preprocessing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    A

    AI CERTs

    AI for Mining

    Skills you'll gain: Model Evaluation, Data Analysis, Image Analysis, Applied Machine Learning, Environmental Regulations, Environment and Resource Management, Geospatial Information and Technology, Environment Health And Safety, Environment, Operations, Operations Management, Workforce Development

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    Duke University

    Beginning Llamafile for Local Large Language Models (LLMs)

    Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

  • 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: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Selecting the Right LLM with Hugging Face

    Skills you'll gain: Hugging Face, Model Evaluation, LLM Application, Large Language Modeling, Model Deployment, Computer Programming, Generative Model Architectures

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular python%20for%20beginners courses

  • Building Recommender Systems with Machine Learning and AI: Packt
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Web Scraping With GPT: Translate Foreign News Headlines: Coursera
  • Data Science for Professionals: Coursera
  • AI for Mining: AI CERTs
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
  • Project on PyQt - Creating a Calculator: EDUCBA
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University

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