Build a Solid Foundation in Data Analysis with Python

Beginner Python developers - Curious to learn about Data Science Or Data Analysis

Students must be willing to learn the Data Analysis with Python language

Machine Learning and Data Science using Python for Beginners

Beginners who are interested in Machine Learning using Python

A medium configuration computer and the willingness to indulge in the world of Machine Learning

To Build AI and ML Models in Practice

Anyone in the world interested in Outstanding Opportunities and Growth in Artificial Intelligence, Machine Learning & Deep Learning Easily and Quickly

Basic knowledge of Maths & Statistics (High School level)

Optical Character Recognition with Tesseract Library, Image Recognition using Keras, Object Recognition using MobileNet SSD, Mask R-CNN, YOLO, Tiny YOLO from static

Beginners or who wants to start with Python based OCR, Image Recognition and Object Recognition

A decent configuration computer (preferably Windows) and an enthusiasm to dive into the world of OCR, Image and Object Recognition using Python

We will use Deep Learning to accurately identify the gender and age of a person from a single image of a face.

Anyone who is interested in learning Machine Learning.

Students entering the class are expected to have a pre-existing working knowledge of probability, linear algebra, statistics and algorithms, though the class has been designed to allow students with a strong numerate background to catch up and fully participate.

We will be making a drowsiness detecting device. A countless number of people drive on the highway day and night.

Anyone who is interested in learning Machine Learning.

Students entering the class are expected to have a pre-existing working knowledge of probability, linear algebra, statistics and algorithms, though the class has been designed to allow students with a strong numerate background to catch up and fully participate.

We will be making a drowsiness detecting device. A countless number of people drive on the highway day and night.

Anyone who is interested in learning Machine Learning.

In addition, recitation sessions will be held to review some basic concepts.

The course covers theoretical concepts such as inductive bias, the PAC learning framework, Bayesian learning methods, margin-based learning, and Occam's Razor.

Anyone who is interested in learning Machine Learning.

Students entering the class are expected to have a pre-existing working knowledge of probability, linear algebra, statistics and algorithms, though the class has been designed to allow students with a strong numerate background to catch up and fully participate.

You will master in knowing which machine learning model to use for each type of problem.

Anyone who is interested in learning Machine Learning.

Basic high-school level Mathematics.