Applied Machine Learning Courses
Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.
Popular Applied Machine Learning Courses and Certifications
Status: Hands-On ProjectsO.P. Jindal Global University
Skills you'll gain: Operations Management, Design Thinking, Data Visualization, Active Listening, Business Ethics, Working Capital, Database Management, Sampling (Statistics), Environmental Social And Corporate Governance (ESG), Project Estimation, Business Analytics, Financial Statement Analysis, Global Marketing, Financial Accounting, Predictive Analytics, Marketing Planning, Human Resources Management and Planning, Internet Of Things, Big Data, Regression Analysis
Status: Hands-On ProjectsNortheastern University
Skills you'll gain: Data Storytelling, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Generative AI, Web Scraping, Plotly, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Supervised Learning, NoSQL, Database Theory, Exploratory Data Analysis, Time Series Analysis and Forecasting, Natural Language Processing
Northeastern University
In summary, here are 3 of our most popular applied machine learning courses
- MBA Business Analytics:Â O.P. Jindal Global University
- Master of Science in Data Analytics Engineering:Â Northeastern University
- Data Analytics Engineering Graduate Certificate:Â Northeastern University
