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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
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    Google Cloud

    Preparing for Google Cloud Certification: Cloud Developer

    Skills you'll gain: Gemini, API Gateway, Google Gemini, Cloud Applications, Cloud-Native Computing, Kubernetes, Google Cloud Platform, Containerization, Cloud Infrastructure, Application Deployment, Prompt Engineering, CI/CD, Serverless Computing, Cloud Development, Microservices, Application Development, Identity and Access Management, Cloud Computing, Cloud Storage, Debugging

    4.7
    Rating, 4.7 out of 5 stars
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    49K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    DeepLearning.AI

    AI for Good

    Skills you'll gain: Model Evaluation, Fine-tuning, Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Machine Learning Algorithms, Model Training, Responsible AI, Emergency Response, Climate Change Adaptation, Artificial Intelligence, Machine Learning, Mitigation, Applied Machine Learning, Computer Vision, Supervised Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    615 reviews

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Integrate Embeddings and Chroma

    Skills you'll gain: Vector Databases, AI Integrations, LangChain, Data Integration, Retrieval-Augmented Generation, Prompt Engineering, AI Orchestration

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Saïd Business School, University of Oxford

    AI in Media

    Skills you'll gain: Generative AI, Generative AI Agents, Google Gemini, Content Creation, Media Strategy, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Photo/Video Production and Technology, Responsible AI, AI Security, Artificial Intelligence, Machine Learning, Digital Media Strategy, AI Workflows, Machine Learning Algorithms, Digital Transformation, Algorithms, Business Ethics, Artificial Neural Networks, Agentic systems

    Beginner · Specialization · 3 - 6 Months

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    J

    John Wiley & Sons

    Artificial Intelligence in Practice for Business

    Skills you'll gain: AI Personalization, AI Enablement, Fraud detection, AI Product Strategy, Artificial Intelligence, Digital Transformation, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Process Automation, Social Media, Health Technology, Deep Learning, AI literacy, Automation, Machine Learning, Applied Machine Learning, Data-Driven Decision-Making, Computer Vision, Natural Language Processing, Predictive Analytics

    Beginner · Course · 3 - 6 Months

  • Status: Preview
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    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Analysis, Statistical Machine Learning, Statistical Visualization, Data Collection, Probability Distribution, Correlation Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

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    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI

    4.7
    Rating, 4.7 out of 5 stars
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    7.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    Pragmatic AI Labs

    Enterprise AI and Data Engineering with Databricks

    Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy

    Beginner · Specialization · 3 - 6 Months

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    Packt

    Applied Fundamentals: Guess the Number

    Skills you'll gain: Python Programming, Program Development, Game Design, Code Reusability, Computer Programming, Programming Principles, Functional Design, Development Environment, Computational Logic, Building Codes

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Automate ETL Pipelines

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Apache Airflow, Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Geographic Information Systems, Data Transformation, PostgreSQL, System Monitoring, Continuous Monitoring, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, AI literacy, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Preparing for Google Cloud Certification: Cloud Developer: Google Cloud
  • AI for Good: DeepLearning.AI
  • Integrate Embeddings and Chroma: Coursera
  • AI in Media: Saïd Business School, University of Oxford
  • Artificial Intelligence in Practice for Business: John Wiley & Sons
  • Introduction to Statistics: Stanford University
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Generative AI: Prompt Engineering Basics: IBM
  • Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
  • Applied Fundamentals: Guess the Number: Packt

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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