## Sentiment Analysis of Tweets using NLP

Hey guys ! In today’s blog, I’ll be explaining how to perform sentiment analysis of tweets using NLP. Sentiment analysis (a.k.a opinion mining) is the automated process of identifying and extracting the subjective information that underlies a text. This can be either an opinion, a judgment, or a feeling about a particular Read more…

## Descriptive Statistics Part-2

Earlier we discussed about how mean is calculated and useful for the Statistics and DataScience. Here we will talk more about median, Lets start discussion on it. Median: Median is also important measure of central tendency. It also helps to represent our dataset in a single number. Median represents that Read more…

## Descriptive Statistics Part-1

A measure of central tendency is a summary statistic that represents the center point of the dataset. As the name suggest, it is the tendency of data to cluster around center value. These measures indicate where most values in a distribution fall and are also referred to as the central Read more…

## Tests for Variance Hypothesis Testing

In earlier blogs, we discussed about one sample and two sample tests but these tests are applicable to calculate whether mean values changed or not. Here we will talk about tests of variance in which F-test and Chi-Square test are the most important. Important point to remember- Variance is square Read more…

## Two sample tests-Hypothesis Testing-3

In earlier blogs we discussed about two sample z test,t test with equal and unequal variance. Today we will talk about two sample paired t test and two sample p test. Paired t Test: Two samples in which observations in one sample can be paired with observations in other sample. Read more…

## Two Sample t test- Hypothesis Testing-2

Last blog, we discussed about the Two sample z test and found that how we can compare the population mean of two machines or product. Similar to two sample z test , we also compare the population mean of two machines using two sample t test. Now question arises that Read more…

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