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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
This is a complete guide to apply for data science & analytics masters program in US which includes tips on writing GRE TOEFL exam, SOP & other details
Winning tips for machine learning competition which includes feature engineering, stacking, ensembling, data exploration, algorithm selection
What are the challenging puzzles asked in data science and data analyst interviews? Solve these data science puzzles using logical thinking and maths
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."
This article explains 3 analytical concepts which includes descriptive, predictive and prescriptive analytics for analytics professionals
This article reviews top 10 masters program in analytics, data science and machine learning in US and ranked them according to parameters.
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