-
Top 4 Pre-Trained Models for Image Classification with Python Code
Implement pre-trained models for image classification (VGG-16, Inception, ResNet50, EfficientNet) with data augmentation and model training.
Purva Huilgol 04 Apr, 2025
-
Analysing Streaming Tweets with Python and PostgreSQL
Learn how to stream tweets in real-time, store them in a database, and finally analyse streaming tweets to get the present mood of the public.
Aniruddha Bhandari 07 Dec, 2021
-
How to Extract tabular data from PDF document using Camelot in Python
Camelot is a Python library that makes it easy for anyone to extract tables from PDF files. Learn using cameot in this article.
Guest Blog 14 Aug, 2020
-
What are Categorical Data Encoding Methods | Binary Encoding
Learn what is categorical data and various categorical data encoding methods such as binary encoding, dummy, target encoding etc.
Shipra Saxena 01 May, 2025
-
How to Reduce Computational Constraints using Momentum Contrast V2(Moco-v2) in PyTorch
MoCo-v2 comes with the simplicity and power of SimCLR with fewer compute requirements. It is unsupervised technique for visual representation learning.
Guest Blog 18 Aug, 2020
-
Image Augmentation on the fly using Keras ImageDataGenerator!
Learn Image Augmentation with Keras ImageDataGenerator. Expand your dataset size with this deep learning image augmentation technique. Optimized for Google.
Aniruddha Bhandari 19 Feb, 2024
-
Bias and Variance in Machine Learning – A Fantastic Guide for Beginners!
Learn how to evaluate your Machine Learning model, understand bias, variance, and the bias-variance tradeoff with a clear example. Essential steps included!
Purva Huilgol 07 Apr, 2025
-
Building Sales Prediction Web Application using Machine Learning Dataset
Discover how to create a video game sales prediction using machine learning. Train a model and build a real-world application with Python.
Guest Blog 28 Feb, 2024
-
Information Retrieval using word2vec based Vector Space Model
Learn Information Retrieval, Vector Space Model and Mean Precision Average. Use word2vec on an Information Retrieval project based on a vector space model.
Abhishek Sharma 23 Oct, 2024
-
How to Use Texthero to Prepare a Text-based Dataset for Your NLP Project
Texthero is a simple Python toolkit that provides quick and easy tools to let you preprocess, represent, map into vectors and visualize text data.
Guest Blog 16 Aug, 2020
