Prashant Kumar's repositories
full_stack_udemy
udemy full stack course
prashantkumaromar.github.io
Prashant's prashantkumaromar.github.io
Roadmap-To-Learn-Generative-AI-In-2024
Me in the path of learning Generative AI
linkedin-bot
Automatically Connect with People on LinkedIn and Send a Custom Message (Python Selenium)
news_based_stock_analyzer
A Simple stock recommendation system that reads finance news for you and recommend stocks.
Real-Estate-Classification-Analysis-in-R
This R project applies LDA, QDA, Naive Bayes, and KNN methods to classify real estate data. It aims to minimize misclassification rates, using cross-validation for accuracy assessment. The dataset includes quantitative predictors and a categorical response.
Ridge-and-lasso-regression
Ridge and Lasso Regression are popular shrinkage methods used in statistical modeling and machine learning. These methods are particularly useful when dealing with scenarios where the number of predictors exceeds the number of observations.
Customer-Churn-Analysis_Python
Created an innovative library management system with my team, created a user web interface, revolutionized inventory by automating error-prone manual tasks. Using SQL, we centralized data, enhancing efficiency in book allocations and fine accruals by 60%.
Real-Estate-Valuation-Analysis-Using-Linear-Modeling-in-R
This R project analyzes real estate valuation, using a dataset with details like house age, distance to MRT stations, and convenience stores. It involves data preparation, exploratory analysis, linear modeling, and cross-validation techniques for developing predictive models of house prices, evaluated by Mean Squared Error.
rayleigh_testcase
Publically available unit tests of obfuscated code.
Testing-Rstudio-linked-project
a repository that will be linked to Rstudio