Master Generative AI with 10+ Real-world Projects in 2025!
This article covers the essential tools for data scientists for increasing their productivity on data science projects and workflows.
Orange is a platform that is used for analysis. In this article we explored how to build a machine learning model using orange and visualize a dataset.
An introduction to multi label classification problems. This tutorial covers how to solve these problems using a multi-learn (scikit) library in Python
This article gets you started with audio data. This includes audio and voice data analysis using deep learning with case study on various sounds.
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
CatBoost is an open source machine learning algorithm from yandex. In this article learn about CatBoost categorical features to handle categorical data.
Deep learning architectures that every data scientist should know. In this article, learn about advanced architectures and types of computer vision tasks.
Explore Genetic Algorithms. Learn the basics, steps, and easy implementation using the TPOT library explained in simple terms. Easy insights for understanding!
Learn Scrapy for web scraping in python, from setting up your system to creating projects and case studies, including e-commerce & RSS feeds.
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.
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