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  • Python Machine Learning

Python Machine Learning Courses

Python machine learning courses can help you learn data preprocessing, model selection, and evaluation techniques. You can build skills in implementing algorithms like regression, classification, and clustering, as well as working with neural networks. Many courses introduce tools such as TensorFlow, Scikit-learn, and Pandas, showing how these technologies support the development of AI applications and enhance your ability to analyze and interpret complex datasets.


Popular Python Machine Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
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    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Encryption, Cryptography, Machine Learning Methods, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Information Extraction in Python

    Skills you'll gain: ChatGPT, LLM Application, Machine Learning Methods, Model Training, Python Programming, Machine Learning Algorithms, Data Manipulation

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Basics of Chatbots with Machine Learning & Python

    Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Scientific Visualization, Machine Learning, Statistical Machine Learning, Statistical Methods, Algorithms, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    S

    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning

    2.3
    Rating, 2.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Deep Learning, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

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

    Edureka

    Fine-Tuning & Optimizing Large Language Models

    Skills you'll gain: Fine-tuning, Model Evaluation, Context Engineering, LLM Application, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Training, Context Management

    Beginner · Course · 1 - 3 Months

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

    Edureka

    Applied Agentic AI Pipelines with LangChain

    Skills you'll gain: LLM Application, Data Processing, Data Transformation, Generative AI Agents, Large Language Modeling, Generative AI, Workflow Management, Artificial Intelligence, Embeddings, Context Management, Memory Management, Automation, JSON

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, GitHub Copilot, Generative AI, ChatGPT, AI Integrations, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines

    4.5
    Rating, 4.5 out of 5 stars
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    999 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Natural Language Processing - Probability Models in Python: Packt
  • Applied Information Extraction in Python: University of Michigan
  • Basics of Chatbots with Machine Learning & Python: Packt
  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Introduction to Computer Vision and Image Processing: IBM
  • Fine-Tuning & Optimizing Large Language Models: Edureka
  • Applied Agentic AI Pipelines with LangChain: Edureka
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Generative AI for Developers: Unit 2: Pearson

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