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    Results for "machine learning python"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Statistical Analysis, Classification And Regression Tree (CART), Feature Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      36K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Machine Learning, Data Science and Generative AI with Python

      Skills you'll gain: Apache Spark, Generative AI, LLM Application, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, ChatGPT, OpenAI, Generative AI Agents, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Machine Learning

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera

      Machine Learning with Scikit-learn, PyTorch & Hugging Face

      Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with Python

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Investment Management with Python and Machine Learning

      Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Applied Machine Learning, Asset Management, Network Analysis, Data Visualization Software, Financial Data, Market Data, Unstructured Data, Web Scraping, Machine Learning, Social Network Analysis, Advanced Analytics, Financial Market, Financial Analysis, Financial Modeling, Return On Investment, Risk Analysis, Risk Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      U

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of London

      Machine Learning for All

      Skills you'll gain: Machine Learning, Data Processing, Artificial Intelligence, Data Analysis, Machine Learning Algorithms, Computer Vision, Data Collection, Software Testing

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Machine Learning with Python: IBM
    • Machine Learning: DeepLearning.AI
    • Machine Learning, Data Science and Generative AI with Python: Packt
    • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
    • Python for Data Science, AI & Development: IBM
    • Applied Machine Learning in Python: University of Michigan
    • Data Analysis with Python: IBM
    • Investment Management with Python and Machine Learning: EDHEC Business School
    • Mathematics for Machine Learning: Imperial College London
    • AI and Machine Learning Essentials with Python: University of Pennsylvania

    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)

    Frequently Asked Questions about Machine Learning Python

    Machine Learning Python refers to the use of the Python programming language in the field of machine learning. Python is a popular choice due to its simplicity and large community. It offers various libraries and frameworks like Scikit-Learn, TensorFlow, PyTorch, and Keras that make it easier to develop machine-learning models. Building machine-learning Python skills involves learning Python programming, understanding machine-learning algorithms, and gaining proficiency in using these libraries and frameworks. This can be achieved through various online courses, tutorials, and hands-on projects.‎

    1. Data Scientist: They use machine learning to analyze large amounts of raw data and convert them into actionable insights.

    2. Machine Learning Engineer: They design and build machine learning systems, conduct software tests, and implement machine learning algorithms.

    3. AI Engineer: They work on complex AI models using machine learning and deep learning.

    4. Data Analyst: They use machine learning to interpret complex data and help businesses make decisions.

    5. Research Scientist: They apply machine learning in scientific research to analyze and interpret complex data.

    6. Business Intelligence Developer: They use machine learning to analyze complex business data and provide insights.

    7. Big Data Engineer/Architect: They work with large amounts of data and use machine learning to analyze and interpret it.

    8. Quantitative Analyst: They use machine learning in financial institutions to identify profitable investment opportunities and risks.

    9. Computer Vision Engineer: They use machine learning to develop systems that can "understand" images and videos.

    10. NLP Scientist: They use machine learning to create systems that can understand human language.

    11. Robotics Engineer: They use machine learning to design and build intelligent and autonomous robots.

    12. Bioinformatics Scientist: They use machine learning to analyze and interpret complex biological data.‎

    To get started with Machine Learning using Python on Coursera:

    1. Python Fundamentals: If new to Python, start with basic Python programming courses.
    2. ML Basics: Enroll in introductory machine learning courses, ensuring they're Python-centric.
    3. Dive into Libraries: Explore courses that cover Python ML libraries like scikit-learn, TensorFlow, and Keras.
    4. Hands-on Projects: Opt for courses with practical exercises where you can apply machine learning concepts using Python.
    5. Certify Your Skills: Finish courses and earn certificates to validate your expertise in machine learning with Python. ‎
    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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