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Naive Bayes Classifier Explained With Practical Problems
Learn how to use the Naive Bayes Classifier for fast and accurate classification in your machine learning projects. Start Reading Now!
Sunil Ray 01 May, 2025
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Solving Multi-Label Classification problems (Case studies included)
An introduction to multi label classification problems. This tutorial covers how to solve these problems using a multi-learn (scikit) library in Python
shubham.jain 15 Oct, 2024
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Getting Started with Audio Data Analysis using Deep Learning (with case study)
This article gets you started with audio data. This includes audio and voice data analysis using deep learning with case study on various sounds.
Faizan Shaikh 27 Aug, 2021
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Finding chairs the data scientist way! (Hint: using Deep Learning) – Part I
A fun deep learning project to count chairs, their location in a room from an image provided. The article lays challenges & approach using Imagenet & YOLO
Faizan Shaikh 17 Aug, 2017
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Debugging & Visualising training of Neural Network with TensorBoard
Tensorboard helps to train NN models. This article is an overview of tensorboard and a framework for training a neural network using tensorboard with keras.
Faizan Shaikh 24 May, 2020
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Covariate Shift – Unearthing hidden problems in Real World Data Science
Covariate / Dataset shift occurs when variables / environment between your test & train data changes. This poses a problem in solving real life problems.
shubham.jain 21 Oct, 2024
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Hands on with Deep Learning – Solution for Age Detection Practice Problem
This article provides a simple deep learning based solution to Age detection problem. This includes use of neural networks & keras to predict age of person
Faizan Shaikh 26 Jul, 2020
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An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec
Word embeddings are techniques used in natural language processing. This includes tools & techniques like word2vec, TD-IDF, count vectors, etc. Explore Now!
NSS 07 Apr, 2025
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Transfer Learning Using Pre-trained Models in Deep Learning
Learn about transfer learning, pre-trained models, their benefits, usage, fine-tuning techniques, and projects for identifying digits.
Dishashree Gupta 30 Jan, 2025
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A comprehensive beginners guide to Linear Algebra for Data Scientists
A comprehensive guide explaining linear algebra, matrices, their use to solve linear equations and their application in data science & data scientists
Vikas Kumar 15 Oct, 2024
