Machine Learning Classes NYC

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.

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

This machine learning course teaches the fundamentals of how to use the Python programming language for machine learning applications. Students will learn about clustering algorithms, recurrent neural networks, natural language processing, and classification and regression techniques. Completion of this program will give students the ability to understand and solve real-world machine learning problems.

Learn to solve problems and effectively communicate like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, Power BI, and Python – tools listed in virtually every data analytics job posting across industries.

This machine learning course is meant for learners looking to master the concepts needed for machine learning. Students will learn how machine learning can be used for decision-making, the different machine learning techniques available, and how to tackle machine learning projects. The course covers various techniques in machine learning, including regression, classification, K-means, neural networks, and more.