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.

Skills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis
★ 4.6 (44K) · Beginner · Course · 1 - 3 Months

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
★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months

Chegg Skills
Skills you'll gain: Prompt Engineering, Business Analytics, Server Side, Development Environment, Analytics, Responsible AI, Decision Support Systems, Pseudocode, Back-End Web Development, Data Literacy, Business Intelligence, Python Programming, Data Analysis, Web Development, Programming Principles, Data-Driven Decision-Making, Artificial Intelligence, Generative AI, Problem Solving, Critical Thinking
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Image Analysis, Data Preprocessing, Computer Vision, Model Training, Data Analysis, Applied Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Convolutional Neural Networks, Machine Learning Methods, Feature Engineering, Data Cleansing, Data Science, Data Mining, Python Programming, Data Collection, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 3 Months

Chegg Skills
Skills you'll gain: Pandas (Python Package), Server Side, Development Environment, Pseudocode, Data Cleansing, Back-End Web Development, Data Engineering, Data Quality, Descriptive Statistics, Data Manipulation, Python Programming, Data Wrangling, Web Development, Programming Principles, Data Analysis, Analytics, Artificial Intelligence, Generative AI, Software Development, Problem Solving
Beginner · Specialization · 1 - 3 Months

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, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation
★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

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
Intermediate · Course · 3 - 6 Months
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
★ 4.6 (8.8K) · Intermediate · Course · 1 - 4 Weeks

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
★ 4.7 (20K) · Intermediate · Course · 1 - 3 Months

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
★ 4.9 (39K) · Beginner · Specialization · 1 - 3 Months

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
★ 4.6 (3.2K) · Intermediate · Specialization · 1 - 3 Months

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
★ 4.8 (281K) · Beginner · Specialization · 3 - 6 Months
Top-rated Python For Machine Learning courses offered by IBM on Coursera.
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Top-rated beginner-friendly Python For Machine Learning courses with no prerequisites.