Ayush Sinha's repositories
Adult-Income-Random-Forest
Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time. For classification tasks, the output of the random forest is the class selected by most trees
Age-vs-Income-KMeans
k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
MSCxHacktoberfest
Minor Projects that can be used for learning purposes or to get idea to develop their advance versions.
NIFTY-50-Stock-Prediction
Won the Best Beginner Hack @ Data grind , Dev post
Salary-Data-Linear-Regression
Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable.
leetcode-solutions
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub]
Automated-Attendance-System-Webapp
Python based automated attendance system deployed using Flask. Uses face recognition to mark attendance into excel sheets.
Dijkstra-algorithm
Dijkstra's algorithm is an algorithm for finding the shortest paths between nodes in a graph
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
Web-Scraping-Rivan-Solutions
Web scraping by Beautiful Soup and saving the data in excel sheet