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A Comprehensive Tutorial to learn Convolutional Neural Networks from Scratch (deeplearning.ai Course #4)
Explore convolutional neural networks in this course. Learn foundational concepts, advanced models, and applications like face recognition.
Pulkit Sharma 01 May, 2025
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A Technical Overview of AI & ML (NLP, Computer Vision, Reinforcement Learning) in 2018 & Trends for 2019
From Google's BERT to Facebook's PyTorch, 2018 was a HUGE year in ML. Find out what else made the news and what to look forward to in the new year!
Pranav Dar 06 May, 2019
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A Comprehensive Guide to Digital Marketing and Analytics Every Data Science Professional Must Read
Everything you wanted to know about digitial marketing and analytics is all here in this amazing and comprehensive guide. A must-read for all professionals.
Tavish Srivastava 06 May, 2019
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WNS Hackathon Solutions by Top Finishers
This article covers the top three solutions shared by the winners for WNS online hackathon conducted on 14th-16th September.
Aishwarya Singh 06 May, 2019
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Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python
ULMFiT is an essential method to enable transfer learning for NLP tasks. This is a tutorial on Text Classification using ULMFiT & Fastai library in Python
Prateek joshi 30 Apr, 2020
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Improving Neural Networks – Hyperparameter Tuning, Regularization, and More (deeplearning.ai Course #2)
This article is a complete guide to course #2 of the deeplearning.ai specialization - hyperparameter tuning, regularization, optimization in neural networks
Pulkit Sharma 19 Jul, 2020
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Want to Become a Data Engineer? Here’s a Comprehensive List of Resources to get Started
Want to know how to become a data engineer? Here is a list of resources, certifications and other important links that will help you to get started with it.
Pranav Dar 16 May, 2023
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Text Summarization using the TextRank Algorithm (with Python)
Learn how to implement Automatic Text Summarization using the TextRank algorithm in Python, simplifying your text analysis tasks.
Prateek joshi 03 Feb, 2025
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An Intuitive Guide to Interpret a Random Forest Model using fastai library (Machine Learning for Programmers – Part 2)
Interpreting random forest model using fastai library in python using various techniques like dependence & tree interpreters in machine learning.
Aishwarya Singh 27 Aug, 2021
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Stock Market Price Prediction Using Deep Learning
Stock market predictions using machine learning and deep learning techniques, such as Moving Averages, knn, ARIMA, prophet, and LSTM.
Aishwarya Singh 14 Apr, 2025
