Hypothesis Testing Statistics in Data Science
Hypothesis testing is a form of inferential statistics that helps scientists, researchers, or almost anyone to draw conclusions about an entire population based on a representative sample.
Satyabrata Sahoo
A Data Scientist with a passion for learning and implementing new machine learning techniques. Having 3+ years of relevant experience and a total of 10+ years in executing data-driven solutions.
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Central Limit Theorem and Distributions in Data Science
A distribution with a mean µ and variance σ², the sampling distribution of the mean approaches a normal distribution with a mean (µ) and a variance σ²/N as N, the sample size increases.
The Innovation and Climate Challenge of International Shipping
International shipping industry is a backbone of international trade and the global economy.
IP Wave - The landscape of Indian languages & Internet !
There is no doubt that there is a huge linguistic diversity in India. This is reflected in the way Indians speak with each other, and the many languages we often use interchangeably during the day. However, do we use the range of linguistic diversity in the start up and innovation space?
Inferential Statistics in Data Science Part II
In our previous article titled “Inferential Statistics in Data Science”, we have discussed different sampling schemas and point estimation in inferential statistics. So far, we have determined the results associated with individual observations or sample means when the actual population parameters are known. In reality, the true population parameters are...
India's Industrial Production Index (IPI)
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