Machine Learning Classes Near Me

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's NumPy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake so students can refresh the material.

The BIM Certificate Program equips students with industry-standard skills in Revit Architecture, enabling them to design detailed 3D models and produce construction documents for commercial projects. This nationally accredited, project-based program offers flexible online learning and specialized training paths, including Revit MEP and Revit Structure.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

Start your journey into data science by learning Python from scratch, analyzing datasets with Pandas and NumPy, and creating powerful visualizations to uncover insights.

The AI and Machine Learning Bootcamp at the University of San Diego, powered by Fullstack Academy, offers a dynamic 26-week part-time curriculum, welcoming students from various professional backgrounds into the world of artificial intelligence and machine learning. This program blends theoretical knowledge with practical application, using lectures, labs, and projects to equip students with the skills needed for current roles or new careers in the data field.

The Online AI and Machine Learning Bootcamp at the University of North Florida, a 26-week part-time program powered by Fullstack Academy, offers students from diverse professional backgrounds the opportunity to master AI and machine learning skills. This comprehensive course combines lectures, labs, and projects, utilizing Fullstack Academy’s active learning approach to provide practical, real-world application of tools, preparing students for careers in the fast-growing data field.

The University of Oklahoma Outreach AI and Machine Learning Bootcamp is a 26-week, part-time program that combines theoretical and practical learning in AI and machine learning, catering to individuals seeking to balance education with other commitments. This comprehensive curriculum, supported by Fullstack Academy's active learning approach, empowers students to gain in-demand AI skills through lectures, labs, and projects, fostering both individual and collaborative learning experiences.

Transform your career with Louisiana State University's AI & Machine Learning Bootcamp, a 26-week, part-time program offered in partnership with Fullstack Academy. This comprehensive course is designed for individuals from diverse professional backgrounds, offering a deep dive into the practical and theoretical aspects of AI and machine learning. Through a blend of lectures, labs, and projects, you'll gain hands-on experience with real-world tools, preparing you to apply AI fundamentals across various roles or embark on a new career in the burgeoning data field.

Embark on a career-transforming journey with the University of San Diego's AI & Machine Learning Bootcamp, a 26-week, part-time course developed in partnership with Fullstack Academy. This program, ideal for individuals from diverse professional fields, offers an immersive online education in AI and machine learning principles. Through engaging lectures, labs, and practical projects, you'll develop the essential skills to implement AI solutions in the fast-expanding world of data technology.

Embark on a transformative journey with the University of Texas at Dallas's AI & Machine Learning Bootcamp, a program powered by Fullstack Academy. This 26-week, part-time online course delves into the fundamentals of AI and machine learning, providing hands-on experience with the tools and technologies shaping the future of data and innovation.

Transform your career with the University of Michigan's AI & Machine Learning Bootcamp, an innovative program powered by Fullstack Academy. Over 26 weeks in a part-time, online format, this bootcamp guides students through the practical and theoretical aspects of AI and machine learning. Using real-world tools, students work on projects that apply AI fundamentals, setting them up for success in current roles or new careers in the rapidly growing field of data and AI technologies.

Transform your career with Virginia Tech's AI & Machine Learning Bootcamp, an innovative program powered by Fullstack Academy. Over 26 weeks in this part-time, online course, students explore the practical and theoretical aspects of AI and machine learning, using real-world tools to prepare for roles in the rapidly growing field of data.

This course in machine learning with R introduces novice R programmers to a foundation in machine learning theory. The course covers the foundations of statistics and simple linear regression, multiple linear regression, generalized linear models, KNN and Naïve Bayes, the curse of dimensionality, tree models, and SVM. Students who complete this course will understand the mathematics behind machine learning algorithms and be able to use them in real-world situations.

This Python machine learning course teaches machine learning methods and modules with the Python code designed to implement them. The units of this course explain simple and multiple linear regression, classification methods for logistic regression, discriminant analysis, Naïve Bayes, support vector machines, and tree-based methods, regularization strategies, and how to use clustering algorithms. Completion of this 20-week course will prepare students to use machine learning algorithms to analyze complex datasets and make logical predictions