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.

Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Computer Vision, Supervised Learning, Image Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis
Intermediate · Course · 1 - 4 Weeks

LearnKartS
Skills you'll gain: AWS SageMaker, Computer Vision, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework), Automation
Intermediate · Course · 1 - 4 Weeks

Maven Analytics
Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Forecasting, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Business Intelligence, Random Forest Algorithm
Beginner · Course · 1 - 3 Months