anishkuvelkar

SU_Buddy

The SU Buddy project fosters community at Syracuse University by connecting students and alumni. Join groups, find peers, chat, and collaborate. It's a platform for support and networking, empowering students in their academic and professional journeys.

BigMartSalesPred

Big Mart Sales Prediction uses XGBoostRegressor for accurate forecasting based on historical data, supported by Matplotlib and Seaborn for crucial insights. This approach optimizes inventory and enhances marketing, improving Big Mart's decision-making.

BreastCancerNeuralNetwork

It employs neural networks to classify breast cancer tumors as malignant or benign. This project harnesses deep learning to analyze diagnostic data, aiming to enhance accuracy in medical diagnostics and aid in treatment decisions.

Cali-house-price-prediction-XGBoost-regressor-

This project uses XGBoost regressor to predict California house prices, leveraging its efficiency in regression tasks. It includes evaluation metrics like 𝑅 2 R 2 error and mean absolute error, and offers functionality to test the model with new input values for accurate predictions.

Cryptoawards

It's a proof of completion protocol using NFTs to record and certify accomplishments instead of traditional certificates, reducing environmental impact while maintaining authenticity. Users upload course links on the website, visible to all. After course completion, the admin provides an NFT certifying achievements, stored on the Polygon blockchain

CustomerSegmentationUsingK-means

K-Means clustering for customer segmentation categorizes customers based on purchasing behavior, enabling businesses to tailor marketing strategies and optimize product offerings by understanding distinct customer needs and behaviors.

DiabetesPrediction-SVM-Model-

This repository contains code for predicting diabetes using a Support Vector Machine (SVM) model

Face-detection

HeartDiseasePred_APP

An app based on my previous project (Heart disease prediction using logistic regression)

HeartdiseasePrediction-Logistic-regression-

This repository contains Python code for a logistic regression model to predict the likelihood of heart disease based on various medical attributes. It includes data preprocessing, model training, evaluation metrics.

anishkuvelkar/LSTM_NIKEstock-prediction-Practice-

This project uses LSTM (Long Short-Term Memory) neural networks to predict Nike stock prices. Implemented in Python, it leverages historical data to forecast future trends, showcasing practical application of deep learning in financial forecasting.

anishkuvelkar/MNIST_NN_digitclassification

It's a project that leverages a neural network to classify handwritten digits from the MNIST dataset. This project involves data preprocessing, building and training a neural network model using libraries like TensorFlow/Keras, and evaluating its accuracy. It's an excellent introduction to machine learning and deep learning concepts.

anishkuvelkar/ImageProcessingBasics

Its focuses on fundamental image processing tasks (Reading image files ,converting them into NumPy arrays, resizing images, and converting RGB images to grayscale. Utilizing libraries like OpenCV (cv2), Pillow, and matplotlib.image, the project demonstrates essential techniques for handling and manipulating images efficiently in Python).

anishkuvelkar/BreastCancerNeuralNetwork

It employs neural networks to classify breast cancer tumors as malignant or benign. This project harnesses deep learning to analyze diagnostic data, aiming to enhance accuracy in medical diagnostics and aid in treatment decisions.

anishkuvelkar/HeartDiseasePred_APP

An app based on my previous project (Heart disease prediction using logistic regression)

anishkuvelkar/CustomerSegmentationUsingK-means

K-Means clustering for customer segmentation categorizes customers based on purchasing behavior, enabling businesses to tailor marketing strategies and optimize product offerings by understanding distinct customer needs and behaviors.

anishkuvelkar/BigMartSalesPred

Big Mart Sales Prediction uses XGBoostRegressor for accurate forecasting based on historical data, supported by Matplotlib and Seaborn for crucial insights. This approach optimizes inventory and enhances marketing, improving Big Mart's decision-making.

anishkuvelkar/Cryptoawards

It's a proof of completion protocol using NFTs to record and certify accomplishments instead of traditional certificates, reducing environmental impact while maintaining authenticity. Users upload course links on the website, visible to all. After course completion, the admin provides an NFT certifying achievements, stored on the Polygon blockchain

anishkuvelkar/Cali-house-price-prediction-XGBoost-regressor-

This project uses XGBoost regressor to predict California house prices, leveraging its efficiency in regression tasks. It includes evaluation metrics like 𝑅 2 R 2 error and mean absolute error, and offers functionality to test the model with new input values for accurate predictions.

anishkuvelkar/HeartdiseasePrediction-Logistic-regression-

This repository contains Python code for a logistic regression model to predict the likelihood of heart disease based on various medical attributes. It includes data preprocessing, model training, evaluation metrics.

anishkuvelkar/SpamvsHamEmailPrediction

In this project, we aim to classify emails as either "spam" or "ham" (non-spam) using machine learning techniques. We utilize logistic regression as our classification model and TF-IDF (Term Frequency-Inverse Document Frequency) for vectorizing the email text data.

anishkuvelkar/DiabetesPrediction-SVM-Model-

This repository contains code for predicting diabetes using a Support Vector Machine (SVM) model

anishkuvelkar/RockvsMine-Logistic-Regression-

This project utilizes logistic regression to predict whether an object detected underwater is a rock or a mine. The dataset employed is the Sonar dataset obtained from Kaggle.

anishkuvelkar/SU_Buddy

The SU Buddy project fosters community at Syracuse University by connecting students and alumni. Join groups, find peers, chat, and collaborate. It's a platform for support and networking, empowering students in their academic and professional journeys.

anishkuvelkar/movierecommender

movie recommendation based on content

anishkuvelkar/Face-detection