ashendrasharma

ashendrasharma.github.io

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.

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.

free_badges

gaussiantimeseries-mlops-aws-deployment

great_expectations

Project_File

portfolio

research-for-ug-students

Research programs for Undergraduate students

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."

xgboost-extreme-gradient-boosting-