Machine Learning Hyper-Parameter Tuning using Optuna 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.
Machine Learning Mall Customer Segmentation 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.
Machine Learning ML for Breast Cancer Tumor Diagnosis 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.
Machine Learning in Insurance Sector Developing a Machine Learning application in the insurance sector is the most challenging amongst BFSI groups. This article will show the application of Gradient Boosting algorithm in determining healthcare insurance premium.
Machine Learning Object Detection on Your Mobile 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.
Machine Learning Object Detection and Tracking 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.
Machine Learning Image Segmentation 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.
Machine Learning Super Fast Real Time Object Detection, Segmentation and Tracking 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.
Machine Learning A Simple Technique for Inflating an Image Dataset Training a ML model with an image dataset? Learn a quick way of inflating the dataset with simple image augmentation techniques.
Machine Learning Away and Safe from Unmasked Do you want to protect yourself from anybody approaching you without a face mask? This trivial application will generate an alert in real-time when an unmasked person approaches your desktop.
Machine Learning Link Prediction using Similarity Measures 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.
Machine Learning A Deep Dive into KNN 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.
Random Forest - An Efficient Python Implementation The Random Forest algorithm is considered one of the best algorithms for classification. Do you wish to learn an in-depth efficient implementation of this algorithm in Python? Understand bagging, entropy, information gain and all that you want to know in Random Forest implementation.
Machine Learning AutoML using H2O 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.
Machine Learning Link Prediction Using Node2Vec 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.
Machine Learning BERT Based Q&A System Want a quick answer to your question on a text passage that you do not have enough time to read? A BERT based QnA model published by Hugging Face will do the trick. This tutorial provides a trivial interface for entering a passage, and the trained model provides answers to any of your questions.
Machine Learning Music Genre Classification 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.
Machine Learning An In-depth Guide to Social Network Analysis 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.
Machine Learning Using GPT-2 to Write Like Shakespeare 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.
Machine Learning Gesture Controlling a Game Using OpenCV 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.
Machine Learning Career In Machine Learning 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.
Machine Learning Live Tweets Disaster Analysis with BERT Learn to analyze live tweets for disasters using BERT transfer learning.
Machine Learning Fake News Classifier In today’s fast-paced world, a plethora of information is available at a click. With this, fake news is a rising concern in our society right now. Since most of the population uses social media to update themselves with news, delivering accurate and altruistic information is of utmost importance.
Machine Learning Admit Predictor Students are often worried and unaware about their chances of admission to graduate school. This blog aims to help students in shortlisting universities with their profiles using ML model. The predicted output gives them a fair idea about their admission chances in a particular university.
Machine Learning Catch a Thief in Action with OpenCV Many times, you don't recover what's stolen, but now there may be way to prevent the theft in the first place. Instead of running after thief, shouting for help, get alerted of theft and prevent it.
