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: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Training, Regression Analysis, NumPy, Machine Learning Algorithms, Machine Learning, Model Optimization, Deep Learning, Data Science, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Packt
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Fine-tuning, AI powered creativity, Applied Machine Learning, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Machine Learning Methods, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Computational Logic, Python Programming, Image Analysis, Data Science, Data Processing, Unstructured Data
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Predictive Modeling, Data Processing, Development Environment, Predictive Analytics, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Linear Algebra, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Statistical Visualization, Pandas (Python Package), Applied Machine Learning, Data Science, Machine Learning, Data Analysis, Python Programming, Model Optimization, Data Manipulation, Classification Algorithms, Programming Principles, Regression Analysis, Data Structures
Beginner · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Rmarkdown, Data Presentation, Machine Learning, Model Optimization
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Deep Learning, Data Processing, Artificial Neural Networks, Logistic Regression, Applied Machine Learning, Program Development, Python Programming, Network Architecture, Model Training, Model Optimization, Machine Learning Algorithms, NumPy, Pandas (Python Package), Linear Algebra
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Statistical Methods, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Model Training, Statistical Machine Learning, Statistical Analysis, NumPy, Machine Learning Methods, Machine Learning, Data Processing, Descriptive Statistics, Programming Principles, Probability Distribution, Probability
Beginner · Course · 1 - 4 Weeks