In this post, we dive into one of the core statistical concepts used in data science and artificial intelligence—calculating the variance of a continuous frequency distribution. Breaking down the steps If you have data distributed across class intervals with frequencies, the goal is to find the variance. The video explains the columns in the table: […]
Median in Data Science and AI In the realm of data science and AI, understanding measures of central tendency is crucial. In this post, we will explore the concept of median. What is Median? Median is a key measure of central tendency that divides a dataset into two equal halves. It represents the middle value
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Data Science and A.I. – Measures of Dispersion: Variance of Discrete Frequency Distribution In this post from PostNetwork Academy’s Data Science and A.I. Lecture Series, Bindeshwar Singh Kushwaha walks us through the process of calculating the variance of a discrete frequency distribution. This is an essential statistical measure for understanding the spread of data
How to Calculate Variance for a Given Distribution Introduction: In this post, we will explore the step-by-step process of calculating the variance and standard deviation for a given frequency distribution. Understanding these concepts is crucial for analyzing data variability and distribution spread. Example: Given the following frequency distribution, we will calculate both the variance and
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OpenAI Launched Sora Which Can Create Video from Text Credit: https://openai.com/sora Suppose you are making a video and there are scenes you can not shoot, do not worry. Sora an A. I. model which can generate videos, you just need type text which will generate video for you. OpenAI’s Sora text-to-video model is capable of
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Random variable is a very important concept in probability, statistics, data science and machine learning, one must learn concept of random variable and related concepts. In this post, I have explained random variable and probability mass function that will help you to have basic understanding of random variable and probability mass function. To understand random
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Servo Motor Servo motors is a special type of motor which can not move 360 degrees, however, it can move 180 degrees. Furthermore, it can be used for making smart dustbin project, smart door lock and robotic arm. In this project, you will learn how to interface Servo motor with Arduino. Below servo moto pins
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Understand Decision Tree Learning Decision tree learning is a supervised learning algorithm, which can be used for classification as well as regression tasks. Moreover, it mimics the human’s decision making process and very effective in several applications. In this post you will know that how to construct a decision tree learning model using Gini Index.
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Basically, there are four types of machine learning algorithms. 1- Supervised Learning Algorithms- In supervised learning, values of features and labels or classes are given. Further, Supervised learning algorithms are of two types. 1.1- Regression- In regression numerical values are predicted. 1.2-Classification In classification, labels are predicted. 2-Unsupervised Learning Algorithms In unsupervised learning, instances have
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Panda’s Series- In the last post, I explained how to create a panda’s series. Further, a pandas series has a lot of you often need to analyze, visualize and clean data. In this post, I will be explaining min(), max(), mean(), median(), and mode functions. min() Function- import pandas as pd lst=[2, 4, 6, 8,
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