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
Duke University
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization, Predictive Modeling, Scientific Visualization, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Statistical Visualization, Data Presentation, Data Manipulation, Data Wrangling, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Applied Machine Learning, Machine Learning Algorithms, Model Evaluation, Statistical Inference
Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Plot (Graphics), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Spreadsheet Software, Text Mining, Data Wrangling, Data Manipulation, Data Cleansing, Data Presentation, Data Processing, Data Integration, Programming Principles, Graphing, Time Series Analysis and Forecasting, Data Access
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming
Skills you'll gain: Plotly, Dashboard, Plot (Graphics), Pandas (Python Package), Dashboard Creation, Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Web Design and Development, Application Development, Data Presentation, Data Science, Python Programming
Skills you'll gain: File I/O, Computer Programming, Programming Principles, Data Import/Export, Data Structures, Python Programming, Computer Science, Data Storage
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Code Reusability, Python Programming, Program Development, Software Installation, Computational Logic, Development Environment
Skills you'll gain: Failure Analysis, Root Cause Analysis, Analysis, Memory Management, Complex Problem Solving, Correlation Analysis
Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Dashboard Creation, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software
Skills you'll gain: Google App Engine, Cloud Development, Cloud Applications, Cloud Platforms, Restful API, Public Cloud, Google Cloud Platform, OAuth, Cloud Deployment, Cloud API, Cloud Computing, Cloud Services, API Design, Application Deployment, Platform As A Service (PaaS), Python Programming, Cloud Storage, Database Development, File Management, Web Applications
Skills you'll gain: Education Software and Technology, Digital pedagogy
EDHEC Business School
Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Investments, Financial Modeling, Return On Investment, Risk Modeling, Estimation, Statistical Methods, Bayesian Statistics, Python Programming, Risk Analysis, Correlation Analysis, Time Series Analysis and Forecasting
University of Glasgow
Skills you'll gain: Model Evaluation, Deep Learning, Descriptive Analytics, Data Ethics, Data Preprocessing, ICD Coding (ICD-9/ICD-10), Federated Learning, Autoencoders, Health Informatics, Clinical Data Management, Medical Records, Data Mining, Medical Coding, Electronic Medical Record System, Responsible AI, AI Security, Electronic Medical Record, Predictive Modeling, Machine Learning, Feature Engineering
In summary, here are 10 of our most popular python machine learning courses
- Data Visualization and Modeling in Python: Duke University
- Data Analysis with Pandas and Python: Packt
- Deep Learning with PyTorch : Generative Adversarial Network: Coursera
- Create Interactive Dashboards with Streamlit and Python: Coursera
- Python Basic Structures: Lists, Strings, and Files: Codio
- Программирование для всех (начало работы с Python): University of Michigan
- Debug Python Pipelines: Root Causes: Coursera
- Evaluate and Create ML Workflows Visually: Coursera
- Python for Google App Engine: Packt
- Creating Interactive Learning Videos with Edpuzzle: Coursera
