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This article introduces the science behind k-fold cross validation & its use in simple terms and explains its implementation in Python
This article is a review of a case study on building predictive model and implementing it to predict salary of analytics professionals in India by startups.
Boosting is a powerful tool in machine learning. Learn the commonly used boosting algorithms Ada Boost, Gradient Boost, Gentle Boost, Brown boost.
An introduction to parametric analysis. Learn about parametric survival analysis using distribution like normal, uniform, lognormal along with applications.
Ultimate guide to create data visualization and resources for understanding various data visualization methods used in graphs, charts, heatmap, box plot etc
This article illustrates the best of AMA b/w Andrew Ng and Adam Coates happened on Reddit. Advice to build career in machine learning is discussed in detail.
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.
This article provides a framework & step by step guide to build an ARIMA model. These include visualization, differencing, transformation & prediction.
This article explains ARMA time series model. ACF & PACF models are also discussed along with difference between AR & MA time series models.
Exploring time series data is critical before building a time series model. This article provides steps to explore a time series data in R.
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