Project-based tutorials on ML, deep learning, NLP, computer vision and graph analytics — each one a complete, runnable walkthrough with real datasets and the full source code.
>>> from abcom import education >>> education.latest(n=5) [Career] Data Scientist’s Role in Emerging AI [ML ] Hyper-Parameter Tuning using Optuna [ML ] A Deep Dive into KNN [ML ] Mall Customer Segmentation [ML ] AutoML using H2O >>> len(education.tutorials) 22 >>>
Every tutorial takes a real problem — a dataset, a camera feed, a social graph — and builds the solution end to end.
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 reportoire? If…
Prof. (Dr.) Poornachandra SarangSelecting 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…
Thilakraj DevadigaLearn 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.
B. SrinivasMalls 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…
Nisha WaghelaDo 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…
Anjani ReddyWould 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…
Anjani ReddyClassical algorithms implemented from first principles: KNN, Random Forest, clustering, AutoML and hyper-parameter tuning.
6 articlesOpenCV, YOLO and segmentation: detect, track and segment objects in images, video streams and on mobile.
3 articlesTransformers in practice: BERT question answering, tweet classification and text generation with GPT-2.
2 articlesNeural networks with TensorFlow and Keras: audio classification and data augmentation for image models.
3 articlesA three-part series on social network analysis and link prediction with NetworkX and Node2Vec.
1 articleWhat the industry expects from a modern data scientist, and the skills to add to your repertoire.
Multi-part series that build on each other. Read them in order.
From exploring a Facebook network with NetworkX to predicting new friendships with embeddings and similarity measures.
Real-time detection with YOLO, multi-object tracking with Deep SORT, and pixel-level segmentation of images and video.
Tutorials by ABCOM's engineers and students, mentored by founder Prof. (Dr.) Poornachandra Sarang.
Prof. (Dr.) Poornachandra Sarang1 article
Arka Dyuti Kundu6 articlesThilakraj Devadiga3 articlesAnjani Reddy2 articlesB. Srinivas2 articles
Parth Chhabra2 articles
Ruchi Sharma2 articles
Aaditya Damle1 article
Jayanta Ghosh1 article
Mukul Rawat1 articleNisha Waghela1 article
Swarnabha Roy1 article
Vedant Mane1 articleOur founder's books with Springer and Apress cover data science, neural networks and blockchain in depth.
