Data Science & Artificial Intelligence
Complete hands on Machine Learning course
Numpy, pandas, matplotlib, scikit-learn
Live online course
90+ hours live classes
What you will learn in this course.
Tools and Libraries
1. Introduction to Python & Data Science 2. Python & Linux 3.Python Packages & Libraries 4. Importing Data & Data manipulation 5.Linear Algebra & Statistics 6.Error Matrix 7. Machine Learning ( Supervised, Unsupervised) 8.DeepLearning using Tensorflow 9.Data Visualization Using PowerBI 10. GIT & AWS 11.NLP 12. Computer Vision 13. Data Science at scale with Pyspark 14. Data Science Capstone Project 15. Business Case Studies
You'll need a desktop computer (Windows, Mac, or Linux) capable of running Anaconda 3 or newer. The course will walk you through installing the necessary free software.
Some prior coding experience
Some Mathematical skills
Who is this course for ?
Students who are studying Engineering / Degree and who are looking for the career in Artificial Intelligence and Data science
Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
Technologists curious about how deep learning really works.
Data analysts in the finance or other non-tech industries who want to transition into the tech industry can use this course to learn how to analyze data using code instead of tools. But, you'll need some prior experience in coding or scripting to be successful.