Master Generative AI with 10+ Real-world Projects in 2025!
This guide helps people & students new to data science and machine learning hackathons prepare for these hackathons in a short time period
An introduction to deep learning in python. In this article learn about python libraries, additional resources and a complete guide on Deep Learning.
Winners of data science competition The Smart Recruits have shared their approach and codes.
This tutorial helps beginners to get started building machine learning models in R. Learn about machine learning techniques in R with the MLR package.
Brief history of neural networks in the area of Deep Learning. This article contains evolution and concepts of neural networks and deep learning.
This tutorial explains data science at the command line with python and R to build models including data visualization, exploration and machine learning.
This article explains the method of model building using principal components on test data. It uses decision tree algorithm for modeling data
Winning tips for machine learning competition which includes feature engineering, stacking, ensembling, data exploration, algorithm selection
Data preprocessing in python using scikit learn library that includes scaling, label encoding for preprocessing and preparing data for our models.
Linear regression assumptions: Validate models, understand key assumptions, and improve statistical analysis with expert insights."
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