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Articles by Gourav Bais
5 articles
Top 7 Machine Learning Hackathons that You can Consider
Introduction Machine learning is a common topic in the technology and business world. Machine learning is a technology that processes the raw data, provides helpful information, including data prediction and analysis, and releases final statistics reports. In short, ML helps process the data and produces reports to achieve the set goals. It uses various high-end algorithms and paradigms to engage with the solutions. Artificial Intelligence is the fastest-growing technology under which machine learning and deep learning work. In this article, you will see the top 7 hackathons and technical events of machine learning, that are organized worldwide. This includes ...
Read MoreHow to Perform Grubbs Test in Python
Introduction The Grubbs test is a statistical hypothesis testing method to detect outliers in a dataset. Outliers are the observations that disburse the data distribution and are also known as anomalies. The dataset with outliers tends to overfit more than data with a Normal/Gaussian distribution. Hence, it is necessary to tackle the outliers before Machine Learning modeling. Before handling, we must detect and locate the outliers in the dataset. The most popular outliers detection techniques are QQPlot, Inter-Quartile range, and Grubbs statistical test. However, this article will discuss only the Grubbs test to detect the outliers. You will learn: what ...
Read MoreHow to Perform an F-Test in Python
Statisticians use F-test to check whether the two datasets have the same variance or not. F-test is named after Sir Ronald Fisher. To use the F-Test, we make two hypotheses, a null hypothesis, and one alternate hypothesis. Then we select any of these two hypotheses approved by the F-Test. Variance is a data distribution metric to tell the data deviation from the mean. The higher values show more dispersion than the smaller values. In this article, you will learn how to perform an F-Test in Python programming Language with its use cases. F -Test Process The process to perform the ...
Read MoreHow to Perform a Chi-Square Goodness of Fit Test in Python
Introduction Data Scientists often use statistical methods for hypothesis testing to gain insights from the datasets. While there are multiple statistical methods available, this article will discuss the Chi-Square Goodness of fit test with its implementation in Python. The Chi-Square test validates the observed distribution of categorical variables to the expected distribution. It tells us if the available event values differ from the expected values. Chi-Square Test You can perform the Chi-Square test to verify the dataset distribution for observed events. The Chi-Square test makes some assumptions which are as follows − Variables are independent. Only one categorical feature ...
Read MoreHow to Perform a Brown ñ Forsythe Test in Python
The Brown-Forsythe test is a statistical test used to determine whether the variances of two or more groups are equal. While Levene's test uses the absolute deviations from the mean, the Brown-Forsythe test uses the deviations from the median. The null hypothesis used in the test is as follows − H0: The variance of the groups (populations) is equal The alternative hypothesis is that the variances are not equal − H1: The variance of the groups (populations) is not equal To perform the test, we calculate each group's median and the absolute deviations from the median. Then we calculate the ...
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