Project 1 about the eCommerce platform regarding various topics covered.

Project1 done 

EDA on Vehicle Insurance Customer Data project done

Second Project SQL done

Project  1 done     https://public.tableau.com/views/TableauProject1_16686782316000/Articlepredicting?:language=en-US&:display_count=n&:origin=viz_share_link  

Project 2 done

Project 1 done

Project 2 done https://drive.google.com/file/d/1Gjc8cef_e5qI8q93As-2TUQP7vSZG6UA/view?usp=share_link  

AIM: This project aims to analyze data in detail on vaccinated people and fully vaccinated by year and country.   Introduction: The main objective of this project is to analyze the data on, COVID-19 Vaccinations. Through the Analysis of data, we can find out some important insights. Problem statement: We can find…

Aim: The aim of this project is to collect and analyze the data in detail of the Pickup point of the Airport and City Request id in Uber Request Data. Introduction: The main objective of this project is to analyze the data on, Uber Request data. Through the analysis of data, we can find some important insights. Problem…

1. Population Variance :σ2 = Σ (xi – μ)2 / N Sample Variance : s2 = Σ (xi – x)2 / (n-1) The difference between these two is when we calculate Population variance we divide by N in sample Variance by n-1. 2. In Cluster Sampling, the sampling is done…

2. It is the Probability of an event multiplied by the amount of time the event happens. In the case of an infinite number of Observations, it is very difficult to note each and every outcome. In such cases, the probability of each outcome is determined using this probability. The formula is :                             μ=∑x⋅P(x)…

1. Gradient Descent is an optimization algorithm in machine learning used to minimize a function by iteratively moving toward the minimum value of the function. We use the algorithm when we have to find the least possible values that can satisfy a given cost function. In machine learning, more often than not we try to…