Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer.

Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer.

Master data classification using Naive Bayes, a simple yet powerful probabilistic algorithm. Learn how to apply it to various datasets for tasks like spam detection, sentiment analysis, and classification of categorical data.

Learn basic statistical analysis for data science in healthcare. Explore techniques to analyze and interpret healthcare data for improving patient outcomes and decision-making processes.

Start data science by learning the fundamentals, regression analysis in details and get flavor of machine learning

Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples

Prepare for the data science interview process, from navigating job postings to passing the technical interview.

Machine Learning Data Scientists solve problems at scale, make predictions, find patterns, and more! They use Python, SQL, and algorithms.

NLP Data Scientists find meaning in language, analyze text and speech, and create chatbots. They use Python, SQL, & NLP to answer questions.

NLP Data Scientists find meaning in language, analyze text and speech, and create chatbots. They use Python, SQL, & NLP to answer questions.

Grow your proficiency in Golang by learning about algorithm design, analysis, and use of common Golang data structures by solving coding exercises.

This Python algorithms and data structures course provides a platform where professionals can implement and learn data structure concepts in Python.