Hypothesis in terms of statistics is an assumption for an event, a proportion based on reasoning. Hypothesis testing is a statistical method used to make decisions using experimental data. Basically, we are assuming a result using some parameters for a problem statement.
Didn’t get it? OK…
Suppose you run a…
Note: This blog is a continuum of “Probability Distributions in Data Science and Machine Learning | Part 1”. In case you haven’t read it yet, here is the link.
Here I am going to discuss various types of continuous probability distributions and their application in machine learning.
Continuous Probability Distributions:
Some of the…
For a data scientist aspirant, Statistics is a must-learn thing. It can process complex and challenging problems in the real world so that Data Scientists can mine useful trends, changes, and data behavior to fit into the appropriate model, yielding the best results. Every time we get a new dataset…
This blog is a continuation of “Central Limit Theorem and Machine Learning”. Please visit the part-1 for prior knowledge about the topic. The link is here.
As we discussed earlier, we can’t simply assume a sample’s mean parameter output as our whole population parameter output though their values are close…
Note: Here I will try to cover the idea of the Central Limit Theorem, and it’s significance in statistical analysis, and how it is useful in Machine Learning. In case you haven’t checked, please find the link for normal distribution blog here.
Suppose we want to study the average age…
Normal Distribution is an important concept in statistics and the backbone of Machine Learning. A Data Scientist needs to know about Normal Distribution when they work with Linear Models(perform well if the data is normally distributed), Central Limit Theorem, and exploratory data analysis.
As discovered by Carl Friedrich Gauss, Normal…
In a statistical study, which may be scientific, economic, social studies, or machine learning, sometimes we come across many problems involving the use of two or more variables. Such as:
- Income and Expenditure of an individual
- Demand and price of a commodity
The data generated by the two variables(x, y)…
Note: Here, I will try to explain how I approach the problem statement starting from exploratory data analysis to model building using deep learning approach end to end. Please do enjoy and give it a clap!
Quora is an American question-and-answer website that provides a platform to ask questions and…
