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Hacking Google Maps to create distance features in your model / applications
Google Maps can be used to design and create distance features. This article provides a step by step guide and case study to use Google Maps in models/apps.
Tavish Srivastava 19 Jul, 2020
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How to detect Outliers in your dataset and treat them?
Finding & treating outliers in your dataset can improve your models & predictions. We explain outlier detection methods & how to treat outliers in a dataset.
Sunil Ray 14 Sep, 2015
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7 Steps of Data Exploration & Preparation – Part 2
Further to data exploration & data preparation, Article explains way of treating/handling missing values in business analytics data sets, data collection,data extraction.
Sunil Ray 06 Aug, 2015
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Step by Step guide to learn Time Series Modeling
Basics of time series models: How to make time series data stationary? Is random walk stationary? How and why to use Dickey Fuller Test.Guide to learn time series modelling.
Tavish Srivastava 19 Apr, 2018
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7 Steps of Data Exploration & Preparation – Part 1
The extent of data exploration, cleaning & preparation decides the goodness of a model. This article explains steps involved in the process of model building.
Sunil Ray 05 Aug, 2015
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How to avoid Over-fitting using Regularization?
Regularization is a way to avoid overfitting problems in Regression models. Article explains how to avoid overfitting, underfitting using regularization.
Tavish Srivastava 29 Oct, 2024
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Introduction to Online Machine Learning: Simplified
An introduction to online machine learning algorithms to handle huge data. In this article learn about how online learning differs from batch learning.
Tavish Srivastava 25 Jun, 2020
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Model Performance metrics: How well does my model perform? – Part 2
This article discusses performance metrics (Concordance, AUC-ROC, Gini coeff) to evaluate the performance of classification models & their advantages.
Tavish Srivastava 17 Apr, 2015
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Model performance metrics: How well does my model perform? – Part 1
This article discusses metrics & plots (Confusion, Gain, Lift & K-S) to evaluate the performance of classification models & their advantages
Tavish Srivastava 17 Apr, 2015
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Image processing and feature extraction using Python
Image processing and feature selection can be tricky. This article teaches the basics of Python image processing and image feature extraction using Python.
Tavish Srivastava 26 Jul, 2020
