Python for Machine Learning Courses
Python for machine learning courses can help you learn data manipulation, algorithm implementation, model evaluation, and feature selection. You can build skills in data visualization, hyperparameter tuning, and understanding neural networks. Many courses introduce tools like TensorFlow, Scikit-learn, and Pandas, that support applying your skills in real-world projects, enabling you to create predictive models and analyze complex datasets effectively.
Popular Python for Machine Learning Courses and Certifications
Skills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms
Imperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Applied Machine Learning, Jupyter, Statistics, Numerical Analysis, Machine Learning Algorithms, Geometry, Artificial Neural Networks, Data Science
What brings you to Coursera today?
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Data Processing, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Feature Engineering, Data Import/Export, Scientific Visualization, Data Visualization, Python Programming
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning
University of Michigan
Skills you'll gain: Database Design, Data Processing, Debugging, Web Scraping, File I/O, Data Store, Data Visualization, Database Software, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Data Presentation, Data Structures, Programming Principles, Python Programming, Program Development
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning
Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Data Processing, Programming Principles, Computer Programming, Analytics, Analytical Skills, Scripting
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, PyTorch (Machine Learning Library), Responsible AI, Debugging, Model Deployment, Model Training, Model Optimization, Deep Learning, Test Tools, Applied Machine Learning, Testability, Machine Learning Methods, Machine Learning, Data Preprocessing, Verification And Validation, Python Programming, AI Security, Test Driven Development (TDD), AI Enablement
What brings you to Coursera today?
Best Python For Machine Learning courses from IBM
Top-rated Python For Machine Learning courses offered by IBM on Coursera.
- Python for Data Science, AI & DevelopmentIBMBeginner1 - 3 MonthsIBM
- Machine Learning with PythonIBMIntermediate1 - 3 MonthsIBM
- Data Analysis with PythonIBMIntermediate1 - 3 MonthsIBM
Best Python For Machine Learning certificate programs
Earn a certificate in Python For Machine Learning from top universities and companies.
- Machine Learning with Python and TensorFlowEDUCBABeginner1 - 3 MonthsSpecialization
- Mathematics for Machine LearningImperial College LondonBeginner3 - 6 MonthsSpecialization
- Mathematics for Machine Learning and Data ScienceDeepLearning.AIIntermediate1 - 3 MonthsSpecialization
Best Python For Machine Learning courses for beginners
Top-rated beginner-friendly Python For Machine Learning courses with no prerequisites.
- Python for EverybodyUniversity of MichiganBeginner3 - 6 MonthsNo prerequisites
- Machine LearningDeepLearning.AIBeginner1 - 3 MonthsNo prerequisites
- Introduction to Data Analysis Using PythonGoogleBeginner1 - 4 WeeksNo prerequisites
