AI-powered search & chat for Data / Computer Science Students
Statistics: Mean, Median and Mode
Measure of Central Tendency — Mean, Median and Mode in Statistics — Indepth formula applied using sample data and Implemented using Python
Read more at Analytics Vidhya
Statistics #01 — Mean, Median, and Mode
When people need to get the “average” of something, we usually add up all the numbers/items and divide by how many numbers/items there are. This is a simple definition of mean, but there are other…
Read more at Towards Data Science
Statistics: Mean / Median /Mode/ Variance /Standard Deviation
Mean / Median /Mode/ Variance /Standard Deviation are all very basic but very important concept of statistics used in data science. Almost all the machine learning algorithm uses these concepts in…
Read more at Analytics Vidhya
Mean,Median and Mode — Data Science
Mean — Mean means average.you can find above dataset’s average prices for both(New delhi and lucknow) then the formula is — there is a problem with the mean, let’s see the mean which we got for new…
Read more at Analytics Vidhya
R Program to Find the Statistical Mode
Example: Find Statistical Model in R create a vector of marks1 marks1 Continue reading: R Program to Find the Statistical Mode
Read more at R-bloggers
Mean, Median, and Mode
In Machine Learning (and in mathematics) there are often three values that interests us: Mean, Median and Mode. Mean — It is the average value of the dataset. At its basic level, to calculate the…
Read more at Analytics Vidhya
Descriptive Statistics
Statistics is main contributor to multiple scientific research and analysis. Statistics uses quantitative knowledge to the create data collection schemes, process the data, analyze the data, and…
Read more at Analytics Vidhya
Statistics (
Statistics ( scipy.stats ) Introduction In this tutorial, we discuss many, but certainly not all, features of scipy.stats . The intention here is to provide a user with a working knowledge of this pac...
Read more at SciPy User Guide
Mean, Median and Mode: What Are They and When Should You Use Them?
You probably remember Mean, Median, and Mode from high school stats classes but they are often misused. We look at how you should use them… Continue reading on Towards Data Science
Read more at Towards Data Science
Statistics
Statistics Basic concepts in statistics for machine learning. References [1] Example
Read more at Machine Learning Glossary
Statistics
VaR stands for Value-at-Risk. It’s a hugely important component of any form of trade because it is a straightforward method to quantify the risk of a single asset or entire portfolio at any point in…
Read more at Towards AI
Statistics In Data Science
Maths is probably one of the most important topics that are the core of almost all the advances in technology. The filed of data science wouldn’t have existed without maths. All the subfields in data…...
Read more at Towards Data Science
Descriptive Statistics — III
Calculating Median from a range of values is simple. Recall from a range of values [10,12,13,15,17,20,21] = the median is 15 i.e., the centre value Consider the 1st and 2nd column.We have 5 bins of…
Read more at Analytics Vidhya
Descriptive Statistics — IV
We can understand Percentile with a scenario. Say if a college wants to select students for a course based on entrance exam. They have a cutoff of 70%, any who scores above or equal to 70% will be…
Read more at Analytics Vidhya
Modal Series #1 — How To Estimate The Global Mode From Data Sample
When looking for a dataset mode, one would naturally use scipy.stats.mode. However, this will only reveal the most frequent member in the data, i.e. discrete mode. This value is not necessarily the…
Read more at Towards Data Science
Statistics
Undoubtedly, to be a top deep learning practitioner, the ability to train the state-of-the-art and high accurate models is crucial. However, it is often unclear when improvements are significant, or o...
Read more at Dive intro Deep Learning Book
Descriptive statistics by hand
This article explains how to compute the main descriptive statistics by hand and how to interpret them. To learn how to compute these measures in R, read the article “Descriptive statistics in R”…
Read more at Towards Data Science
You Should Know These Statistics To Become a Top-Notch Data Scientist
“Without data, you’re just another person with an opinion.” This aphorism by W. Edwards Deming aptly captures the essence of today’s data-driven world. Data science, a field that blends mathematics wi...
Read more at Level Up Coding
Introduction To Probability And Statistics in ML
Statistics simply means numerical data, and is field of math that generally deals with collection of data, tabulation, and interpretation of numerical data. It is actually a form of mathematical…
Read more at Analytics Vidhya
Statistics — 102
Here is yet another story on Statistics and this time it is on Probability and several distributions which are helpful in the data analysis. If you’d like to refresh your memory on Measures of…
Read more at Analytics Vidhya
Fundamental Statistics
Time series data is everywhere around us, ranging from the stock market price to the daily temperature of your city. As its name suggests, the x axis of time series data is time. We are always…
Read more at Towards Data Science
The main measures of central tendency: Mean, median, mode
Mean — — -it is simple average. Mean can be calculated by adding all the component and then dividing by the number of component. The mean is common measure of central tendency but it has a huge down…
Read more at Analytics Vidhya
Statistics — 101
I have come up with yet another story, and this time it is the basics that we require in any data analysis problem, Statistics. It is a collection of methods for performing experiments in obtaining…
Read more at Analytics Vidhya
Introduction to the Descriptive Statistics
Descriptive statistics summarize, show, and analyze the data and make it more understandable. If the dataset is large, it is hard to make any sense from the raw data. Using descriptive statistics…
Read more at Towards Data Science- «
- ‹
- …