Do you want to know what the industry expects from a Modern Data Scientist? To keep your job as a Data Scientist, what skills do you need to add to your repertoire? If you seek that job of a Modern Data Scientist, what do you need to learn? Watch, Enjoy and Gain Knowledge!

With thousands of job opportunities you see for a Data Scientist, you must have come across the term Machine Learning Engineer. What is the difference between the roles played by a ML Engineer and a Data Scientist? Are these roles distinct? What skills do you need? To understand, watch this video.

Selecting the appropriate values for the algorithmic parameters is a daunting task. Many try to get the optimal values by trial-n-error. In this tutorial, I will show you how to fine-tune the algorithmic parameters for any classical machine learning algorithm using Optuna framework.

Malls do customer profiling to target the potential customers with irresistible offers whenever they visit the mall. In this tutorial, you will learn several EDA and customer profiling techniques with the help of unsupervised K-Means Clustering algorithm.

Medical datasets are typically small, primarily because of the patient's consent and privacy. They usually contain many dependent features. Building highly predictive ML models on such datasets is an enormous challenge for Data Scientists. Learn EDA techniques to reduce the features count.

Object detection and tagging have become a common feature these days. Can you imagine your mobile will automatically tag the objects when you capture them? Learn the development and deployment of this trivial ML application that does this.

Have you ever wondered how to track, say, a celebrity or a politician in a real-time video? The real-time tracking of a specified subject is much more complex than a simple object detection and tracking. This tutorial shows an implementation based on the research paper by Nicolai Wojke, et al.

Do you want to mask out your face or a celebrity’s image in a picture? Learn image segmentation technique in this tutorial that will allow you to mask any object with a color of your choice and masking transparency. Do this for a still image, a captured video or even a live video stream.

Interested in knowing how an autonomous car detects and tracks objects in its path in actual time? This tutorial will show the use of one such machine learning model that performs real time object detection at super fast speeds.

Training a ML model with an image dataset? Learn a quick way of inflating the dataset with simple image augmentation techniques.

Link predictions in social networks using similarity measures gives better results. In this tutorial, you will learn the application of several popular similarity measures applied to a network you developed in the first two parts of this series.

Learn an efficient implementation of KNN (K-Nearest Neighbours) algorithm in Python through a real-life case study of classifying a cancer as benign or malignant.

Do you want to show your skills in machine learning model development? And do not understand the implementation of a plethora of ML algorithms available in the industry? The H2O framework provides a simple way to select the best performing algorithm on your dataset and even design a DNN.

Ever wondered how Facebook suggests ‘people you may know’ and how Amazon recommends ‘people who bought this also bought?’ We use a trained machine learning model on a humongous dataset for such tasks. Read this article to understand the basics of link predictions in social network analysis.

Would you like to know the kind of a music that you just downloaded before listening to it? This trivial tutorial will show you how to classify any music into one of the standard categories, also known as genres.

Ever wondered how Facebook suggests “People you may know” so accurately? Want to implement a similar feature for your company’s network? Want a suggestion on CTC for a recruit at your company’s Cupertino location? Learn fully the social network Analysis and Predictions in this three-part series.

If computers can generate paintings, can they be used to generate novels? This tutorial shows how to use OpenAI’s pre-trained GPT-2 model to generate novel like Shakespeare.

In current technology era, many gadgets are voice and gesture controlled. Computer games are not an exception to this. In this tutorial, you will learn to develop an application for gesture controlling a computer game.

With plethora of online educational institutions offering career courses in Machine Learning, one gets easily confused. Dr. Sarang has more than 35 years of academic and industry experience, briefing you on the different fields of ML, and helping you choose the right learning path.