Everything you Should Know about p-value from Scratch for Data Science
Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more …
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Infographic – Learning Plan 2017 for Transitioners in data science
Introduction This plan is for people planning a career shift in analytics and data science this year. Entering a new field can be overwhelming. What to …
Cheatsheet: Scikit-Learn & Caret Package for Python & R respectively
Introduction For any Python or R practitioner, this article will prove to be a boon. We provide you cheatsheets for the most widely used machine …
Practical guide to implement machine learning with CARET package in R (with practice problem)
Introduction One of the biggest challenge beginners in machine learning face is which algorithms to learn and focus on. In case of R, the …
Introduction to Feature Selection methods with an example (or how to select the right variables?)
Introduction One of the best ways I use to learn machine learning is by benchmarking myself against the best data scientists in competitions. It …
Beginners Guide to Topic Modeling in Python
Introduction Analytics Industry is all about obtaining the “Information” from the data. With the growing amount of data in recent years, that too mostly …
How to use XGBoost algorithm in R in easy steps
Overview Learn how to use xgboost, a powerful machine learning algorithm in R Check out the applications of xgboost in R by using a …
8 Proven Ways for improving the “Accuracy” of a Machine Learning Model
Introduction Enhancing a model performance can be challenging at times. I’m sure, a lot of you would agree with me if you’ve found yourself stuck …
Image processing and feature extraction using Python
No doubt, the above picture looks like one of the in-built desktop backgrounds. All credits to my sister, who clicks weird things which somehow become really tempting …
