Finding & treating outliers in your dataset can improve your models & predictions. We explain outlier detection methods & how to treat outliers in a dataset.
Further to data exploration & data preparation, Article explains way of treating/handling missing values in business analytics data sets, data collection,data extraction.
Predictive Analytics 2 Neural Nets and Regression from Statistics.com learn Linear, Logistic Regression, Discriminant Analysis, Neural Nets
Learn to use Excel’s data-analysis tools—including charts, formulas, and functions—to create accurate and insightful forecasts. Learn how to display time-series data visually.
This online course, provides an easy introduction to ANOVA and multiple linear regression through a series of practical applications. Learn ANOVA and multiple linear regression.
Analytics for Data Science Certificate Program from Statistics.com Learn data analytics includes data mining, predictive modeling, forecasting
Data Mining in R – Learning with Case studies from Statistics.com data mining tasks using R
Predictive Analytics 1 from Machine Learning Tools from Statistics.com. This course covers two core paradigms of predictive modeling: classification and prediction.
The extent of data exploration, cleaning & preparation decides the goodness of a model. This article explains steps involved in the process of model building.
This article discusses about Weka GUI, a collection of machine learning algorithms for data mining tasks. Weka can be used for Big Data.
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