Data Science

Machine Learning — Learn to build models that allow computers to learn from data, identify patterns, and make decisions with minimal human intervention.

Introduction to Machine Learning: Python, R, and Applied AI

Machine Learning
Learn the foundational concepts of artificial intelligence and build your first predictive data models from scratch.
★ 4.5 (3,815)

Foundations of Python Data Science and Machine Learning

Machine Learning
A beginner's guide to using Python for data analysis, visualization, and building your first machine learning models.
★ 4.6 (3,156)

Data Science for Beginners: Python, Math, and Machine Learning

Machine Learning
Master the foundational concepts of data science, from basic statistics to introductory machine learning, with zero prior experience required.
★ 4.6 (3,190)

Python Foundations for Data Science and Machine Learning

Machine Learning
Build a strong foundation in Python programming, essential data libraries, and statistical concepts to start your journey in data science and machine learning.
★ 4.0 (3,772)

Python Data Science, Machine Learning, and AI Foundations

Machine Learning
Build a strong foundation in data analysis, predictive modeling, and artificial intelligence using Python, Pandas, and TensorFlow through structured text-based lessons.
★ 4.6 (1,296)

Python Machine Learning for Beginners: Practical Data Science

Machine Learning
Build a solid foundation in predictive modeling and data analysis using Python, translating complex math into clear, actionable code even if you have zero background.
★ 3.9 (1,394)

Python for Machine Learning and Data Science: Practical Foundations

Machine Learning
Learn to analyze complex data, build predictive models, and apply machine learning algorithms using Python, NumPy, Pandas, and Scikit-Learn.
★ 4.7 (1,126)

Python Programming for Data Science and Machine Learning

Machine Learning
Master the essentials of Python, Pandas, and machine learning to analyze complex datasets and build predictive models through structured, text-based training.
★ 4.3 (1,825)

Support Vector Machines in Python for Machine Learning

Machine Learning
Build and evaluate robust classification models using SVM and kernel methods for real-world data analysis.
★ 4.4 (559)

Python Data Science and Machine Learning with Pandas and Scikit-Learn

Machine Learning
Learn to analyze data, build predictive models, and apply machine learning algorithms using Python, NumPy, Pandas, and Scikit-Learn with no prior experience.
★ 4.4 (864)

Build Your Machine Learning Portfolio in Python

Machine Learning
Apply core machine learning concepts by building a series of practical, job-ready projects from scratch.
★ 4.0 (941)

Python Machine Learning: Foundations and Practical Techniques

Machine Learning
Build a strong foundation in machine learning by writing clean Python code to prepare data, train predictive models, and evaluate their performance.
★ 4.3 (721)

Data Science Foundations: From Raw Data to Machine Learning Insights

Machine Learning
Build a solid foundation in data analysis, statistical modeling, and machine learning using Python to solve real-world problems and drive informed business decisions.
★ 4.7 (587)

Data Science and Machine Learning: A Beginner's Guide to Python and AI

Machine Learning
Build a solid foundation in Python, data analysis, and predictive modeling to solve real-world problems with machine learning and deep learning techniques.
★ 4.2 (6,045)

Foundations of Machine Learning with Python and Scikit-Learn

Machine Learning
Master the core principles of machine learning, from data preprocessing and supervised algorithms to neural networks, using Python and modern data libraries.
★ 4.1 (589)

Python Machine Learning and Predictive Analytics for Beginners

Machine Learning
Build, evaluate, and deploy predictive models using Python while mastering essential machine learning algorithms and modern data preprocessing workflows.
★ 4.2 (791)

Machine Learning Foundations: Core Algorithms in Python

Machine Learning
Build a strong foundation in machine learning by understanding the mathematics behind core algorithms and implementing them using Python.
★ 4.5 (418)

Python for Data Science: Practical Data Analysis and Machine Learning

Machine Learning
Learn to analyze, visualize, and model data using Python, Pandas, and scikit-learn, transitioning from a beginner to building your first machine learning pipelines.
★ 4.3 (430)

Unsupervised Machine Learning and Clustering in Python

Machine Learning
Discover how to find hidden patterns in unlabeled data using k-means, hierarchical clustering, and density estimation with practical Python implementations.
★ 4.7 (5,236)

Support Vector Machines in Python: Applied Machine Learning

Machine Learning
Build a strong foundation in Support Vector Machines, from core geometric principles to implementing powerful classification and regression models in Python.
★ 4.7 (1,930)

Python Data Science and Machine Learning: A Practical Beginner Guide

Machine Learning
Master Python data analysis, clean complex datasets, query PostgreSQL databases, and build your first predictive machine learning models with Scikit-Learn.
★ 4.3 (558)

Machine Learning Algorithms: From Theory to Python Implementation

Machine Learning
Build a strong foundation in key supervised and unsupervised machine learning algorithms using Python, Pandas, and Scikit-learn to solve real-world data challenges.
★ 4.5 (157)

Applied Machine Learning with Python, Pandas, and Neural Networks

Machine Learning
Build a solid foundation in data science by learning to prepare datasets, train predictive models, and implement neural networks using Python.
★ 4.2 (272)

Python Programming Foundations for Machine Learning

Machine Learning
Build a solid foundation in Python syntax, data structures, and modern coding practices to prepare for your journey into data science and machine learning.
★ 4.5 (560)
Showing 24 of 126 courses