ASHENDRA SHARMA's repositories
Great_expectations
Project_File
Research-for-UG-Students
Research programs for Undergraduate students
Botanical_Iris_Classification-
Created Iris flower classification project using Python, scikit-learn, and algorithms like Decision Trees, K-Nearest Neighbors, SVM, and Logistic Regression to classify Iris species by petal and sepal measurements.
Stock-Price-Prediction-Using-LSTM
"Exploring the Dynamics of Stock Price Prediction: Harnessing the power of LSTM neural networks, this project demonstrates the application of deep learning techniques to forecast Apple's stock prices using historical data from Yahoo Finance."
Customer-Segmentation---Using-k-means
Customer Segmentation - Using k-means, About: Customer Segmentation is a popular application of unsupervised learning. Using clustering, identify segments of customers to target the potential user base. They divide customers into groups according to common characteristics like gender, age, interests, and spending habits.