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: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
Beginner · 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

National Taiwan University
Skills you'll gain: Feature Engineering, Autoencoders, Supervised Learning, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Deep Learning, Classification Algorithms, Model Evaluation, Artificial Neural Networks, Logistic Regression, Regression Analysis
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Google Cloud Platform, Machine Learning, Keras (Neural Network Library), Data Cleansing, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, MLOps (Machine Learning Operations), Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Deployment, 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

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Model Evaluation, Data Analysis, Google Cloud Platform, Data Preprocessing, Applied Machine Learning, Data Quality, Data Cleansing, MLOps (Machine Learning Operations), Machine Learning, Data Pipelines, Machine Learning Algorithms, Supervised Learning, Performance Tuning, Embeddings
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Model Deployment, Applied Machine Learning, Data Preprocessing, Model Evaluation, Machine Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms
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: Continuous Integration, Test Automation, Authentications, CI/CD, Test Script Development, API Testing, Software Testing, Unit Testing, Behavior-Driven Development, Web Development Tools, Test Case, GitHub, User Interface (UI)
Intermediate · Course · 3 - 6 Months