Oct 4, 2023
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ANOVA is a technique used to test the difference between two or more means. This article focuses on techniques and types of ANOVA.
In this article, I’ll introduce you to what is anova, objectives of anova, anova statistical test, anova test example, and the different ANOVA techniques used for making the best decisions. We’ll take a few cases and try to understand the techniques for getting the results. We will also be leveraging the use of Excel to understand these concepts. You must know the basics of anova statistics to understand this topic. Knowledge of t-tests and Hypothesis testing would be an additional benefit.
Inheritance in Object Oriented Programming for Python
nheritance is one of the most important aspects of Object Oriented Programming (OOP). The key to understanding Inheritance is that it provides code re-usability. In place of writing the same code, again and again, we can simply inherit the properties of one class into the other.
This, as you can imagine, saves a ton of time. And time is money in data science!
Another intriguing thing about inheritance is that it is transitive in nature. But what does this mean? We’ll see in detail later in this article. Python also supports various types of inheritance in OOPS which I will cover in detail in this article besides covering what is inheritance in python.
An introduction to clustering and types of clustering like K-means clustering and Hierarchical clustering. In this article learn application
Random forest is a Supervised Machine Learning Algorithm. This is an introduction to understanding random forest, its working and features.
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Computer Vision Development Market 22-29 Analysis with Competitors: Face++, SenseTime, iTu, CloudBlock, IslandBlock
Computer Vision Development Market 22-29 Analysis with Competitors: Face++, SenseTime, iTu, CloudBlock, IslandBlock
The research report focuses on company profiles, business overview, sales area, market performance, and manufacturing cost structure. credit social media The Computer Vision Development report examines primary production, consumption, and fastest growing countries along with prominent global industry players. Key market observations are shown to make critical decisions about business growth.…
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Fractal & Analytics Vidhya set a new GUINNESS WORLD RECORDS™ title
Fractal & Analytics Vidhya set a new GUINNESS WORLD RECORDS™ title
MUMBAI, India, July 12, 2022 /PRNewswire/ — Fractal (www.fractal.ai), a leading provider of AI & analytics to global Fortune 500 companies, and Analytics Vidhya (www.analyticsvidhya.com), India’s largest analytics & data science community, set a GUINNESS WORLD RECORDS™ title of ‘Most Viewers of an Artificial Intelligence programming lesson live stream on a bespoke platform’ at 1729. 1729 is an AI…
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Time series Forcasting
Modelling time series requires it to be stationary. It is very difficult to model a non stationary time series. Data Exploration becomes the most imporant step while dealign with time series to find out stationarity of data.
Criteria for Stationary Series
1.) Mean should not a be function of time and be constant.
2.) Variance should not be a function of time, also called homoscedasticity .
3.) Co variance of i and i+1th term should not be a function of time.
Ways to stationaries time series:
Random Walk known as Dickey Fuller Test of Stationarity
ARMA timeseries Modelling
ARMA - Auto Regression Moving Average
Imp to note, ARMA is not applicable to non stationary time series.
Framework on How to do a time series analysis:
1.) Visualize the TS.
2.) Stationarize the series
3.) Plot ACF/PACF and find optimal parameters
4.) Build the ARIMA model
5.) Make Predictions
Sources:
1.) https://www.analyticsvidhya.com/blog/2015/12/complete-tutorial-time-series-modeling/
2.) https://www.analyticsvidhya.com/blog/2016/02/time-series-forecasting-codes-python/