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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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Introductory guide to Generative Adversarial Networks (GANs) and their promise!
An introduction to generative adversarial networks and generative models. Beginners guide to understand how GANs work in computer vision.
Faizan Shaikh 02 Aug, 2024
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Getting started with Deep Learning using Keras and TensorFlow in R
Get started with deep learning with keras and tensorflow in r. Learn how to install keras with tensorflow in R & build a neural network model on MNIST dataset.
NSS 24 May, 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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40 questions to test your skill on R for Data Science
Here are 40 questions on R for data science which every R practitioner must know. Answer these 40 questions to test your skill level on R, dataframes
NSS 24 Jun, 2022
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Winners solutions and approach: Xtreme ML Hack, AV DataFest 2017
This article features the approach of Top 3 winners of Xtreme ML Hack. The participants had to predict the Volume and typologies of contacts at call center
Sunil Ray 02 May, 2017
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40 Questions to ask a Data Scientist on Ensemble Modeling Techniques (Skilltest Solution)
Questions on ensemble modeling technique & machine learning to test a data scientist. These questions include bagging, boosting, stacking andvoting.
Ankit Gupta 24 Jun, 2022
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Guide to t-SNE ML Algorithm Implemented in R & Python
Explore PCA and t-SNE, their roles in dimensionality reduction, implementation details, use cases, and comparisons with other algorithms.
saurabh.jaju 30 Jan, 2025
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Simple Beginner’s guide to Reinforcement Learning & its implementation
Reinforcement learning is a type of machine learning where an agent learns to maximize reward by interacting with an environment.
Faizan Shaikh 05 Apr, 2023
