Understanding Type-I and Type-II errors in hypothesis testing
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards …
Why Precision and Recall metric ?
Author(s): Jalal Mansoori Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale …
Finding Time-shift Between Two Timeseries for Maximum Correlation
Author(s): Rahul Bhadani Just a few lines of code to find a maximum correlation between two timeseries by retrieving appropriate time-shift Continue reading on Towards AI » Published via Towards AI …
Correlation and its Types in Statistics
Author(s): Amit Chauhan Statistics help to understand the behaviors in machine learning Continue reading on Towards AI » Published via Towards AI …
Diving Into the Poisson Distribution and Poisson Process
Author(s): Saniya Parveez, Roberto Iriondo Source: Unsplash What role does the Poisson distribution and Poisson process take in probability and statistics, and how is it used in real-life scenarios? Join us ↓ | Towards AI Members Towards AI is a community that …
Inferential Statistics for Data Science
Author(s): Indhumathy Chelliah Basics of Probability, Probability Distributions Continue reading on Towards AI » Published via Towards AI …
Descriptive Statistics for Data-driven Decision Making with Python
Source: Image by the Author, created with Canva This article provides a sample of our book: “Descriptive statistics for data-driven decision making with Python” Author(s): Pratik Shukla, Roberto Iriondo Grab a full copy of our book ↓ Descriptive statistics for data-driven decision making with …
Generalized Additive Models with R
Author(s): Eugenia Anello Balance interpretability and predictive power through non-linear models Continue reading on Towards AI » Published via Towards AI …
Various Type of Central Tendency Measurement
Author(s): Amit Chauhan The central tendency is beyond than mean, median and mode Continue reading on Towards AI » Published via Towards AI …
Goodness of Fit of a Survival Regression Model
Author(s): Sreenath Acharath Cox’s Proportional Hazard & Lifelines Python Package Continue reading on Towards AI » Published via Towards AI …
Example of Pairs Trading
Author(s): George Pipis A walkthrough example of Pairs Trading Strategy using R Continue reading on Towards AI » Published via Towards AI …
Inferential Statistics for Data Science: Explained
Author(s): Suhas V S Data Science A quick dive into the different aspects of inferential statistics using python. Source: www.luminousmen.com In the earlier part, we have seen how to draw meaningful insights into the characteristics of the sample data (If you have missed …
Descriptive Statistics for Data Science: Explained
Author(s): Suhas V S Data Science, Statistics A detailed go through into various aspects of descriptive statistics using python. Photo by Chris Liverani on Unsplash It is often talked about that it is an essential requisite for a data scientist to have the ability …
Chi-Square Hypothesis Testing in Statistics
Author(s): Amit Chauhan Relationship association between categorical features Continue reading on Towards AI » Published via Towards AI …
Logistic Regression Explained Simply
Author(s): Johar M. Ashfaque Machine Learning, Statistics Logistic regression is a technique borrowed by machine learning from the field of statistics. It is the go-to method for binary classification problems (problems with two class values). Logistic Function Logistic regression is named for …
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