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: Data-Driven Decision-Making, Data Visualization, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Data Preprocessing, Exploratory Data Analysis, Matplotlib, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Management, Application Lifecycle Management, DevOps, Cloud Deployment, Applied Machine Learning, Continuous Deployment, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, PySpark, Model Evaluation, Deep Learning, Applied Machine Learning, Generative AI, Large Language Modeling, Transfer Learning, Data Pipelines, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Supervised Learning, Big Data, PyTorch (Machine Learning Library), Machine Learning, Unsupervised Learning, Natural Language Processing, MLOps (Machine Learning Operations), Text Mining
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Data Ethics, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence, Image Analysis, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Intermediate · Specialization · 3 - 6 Months