Pinned Repositories
BART-Text-Summarization
Abstractive text summarisation using BART model on articles data.
BERT-Text-Classification-MultiClass
Multi-class text classification model using the pre-trained BERT model.
Customer-Propensity-RFM-Purchase-Modelling
Propensity Modelling and RFM Analysis to predict users' likelihood of making a purchase.
Graph-Recommender-FAISS-ECommerce
Designed a graph-based recommender system using FAISS for similarity search, for e-commerce applications based on user purchase and search history.
Hybrid-Recommender-LightFM-Retail
Built a hybrid recommendation system with LightFM library and customised loss functions to optimize performance on retail data."
MultiTouch-Attribution-Marketing-Spend-Optimization
Multi-touch attribution models to determine the channels that lead to greater customer conversions.
Ranking-Sentiment-Analysis-Product-Reviews
Sentiment analysis model for ranking product reviews, highlighting the most relevant ones while pushing down less relevant or irrelevant reviews using pairwise ranking.
Stock-Price-Prediction-YFinance-LSTM-RNN
Developed an enhanced stock price forecasting solution using YFinance with LSTM and RNN, for improved prediction accuracy.
TimeSeries-ARCH-GARCH-AWS-Deployment
Implementation of ARCH and GARCH models with MLOps pipeline on the AWS for deployment and management in a production environment.
TimeSeries-Greykite-NeuralProphet-Walmart-Flask
Developed time series models utilizing Greykite and Neural Prophet on Walmart retail data, with Flask deployment for efficient and scalable access.
AjNavneet's Repositories
AjNavneet/Polyp-Segmentation-UNet-Colonoscopy-Images
Polyp recognition and segmentation for colonoscopy images using UNet++ model.
AjNavneet/Transaction-Fraud-Detection-Isolation-Forest-LOF
Fraud transactional detection using Isolation Forest and Local Outlier Factor (LOF) models.
AjNavneet/Churn-Prediction-Ensemble-Techniques
Customer Churn classification using various ensemble techniques.
AjNavneet/CNN-MultiClass-Classification-PyTorch
PyTorch implementation of CNN model for multi-class classification.
AjNavneet/Content-Based-Recommendation-W2V-FastText-GloVe-Streamlit
Content based filtering and similarity based recommender System and Streamlit deployment.
AjNavneet/Customer-Churn-HyperTuned-NeuralNetwork-PyTorch
Tuned Customer churn classification model by tuning key hyperparameters in PyTorch.
AjNavneet/Feast-Feature-Store-Customer-Churn-Scaling
Feast Feature Store for scaling customer churn model.
AjNavneet/GAN-MNIST-Image-Generation-Pytorch
PyTorch based GAN model on the MNIST dataset for generating new images of digits.
AjNavneet/Image-Colorization-Transfer-Learning-VGG16
Transfer learning with VGG16 model for converts grayscale images to colored images.
AjNavneet/Look-a-like-Model-LSH-UserSimilarity
Lookalike model using the Locality Sensitive Hashing algorithm to find similar users and increase the click rate compared to the default rate.
AjNavneet/RealTime-CNN-MultiClass-Image-Classification-TensorFlow-Flask
Tensorflow based CNN model for multi-class image classification and deployment of the model using Flask for realtime predictions.
AjNavneet/Siamese-NeuralNetwork-Image-Similarity
Siamese Neural Network for Image Similarity application.
AjNavneet/Text-Detection-CRNN-TRSynth100K
CRNN model for detecting and predicting the single-line text in a given image of TRSynth100k dataset.
AjNavneet/Apparel-Image-Classifier-InceptionV3-ResNet
CNN Image classifier using InceptionV3 and ResNet for a t-shirt images.
AjNavneet/Apple-Quality-Segmentation-TensorFlow-SageMaker-UNet
Image segmentation model for checking apple quality using UNet model architecture on TensorFlow along with AWS SageMaker deployment.
AjNavneet/Autoencoder-Generative-Models-PyTorch
Auto-encoders based Generative Models to generate new images of MNIST digits.
AjNavneet/BigMart-Sales-Predictive-Analytics
Sales forecasting models for BigMart.
AjNavneet/Brand-KPI-Video-Analysis-OpenCV-TensorFlow
Brand Exposure Analysis using video processing in OpenCV and Tensorflow.
AjNavneet/Business-License-Classifier-h2O-Flask-Gunicorn
DNN based business license classifier using h2O base model and Flask deployment.
AjNavneet/Churn-Prediction-Logistic-Regression-NumPy
Logistic regression using NumPy on churn data.
AjNavneet/Collaborative-Recommendation-Model-Memory-Based-Retail
Model-Based and Memory-Based collaborative filtering recommendation system on retail data.
AjNavneet/Genetic-Mutation-Classification
Multi-class classifier for DNA genetic mutations.
AjNavneet/Loan-Approval-Predictive-Analytics
Loan approval predictive model using classical classifiers.
AjNavneet/Loan-Eligibility-Prediction-Pipeline-Airflow-Docker
End-to-end ML pipeline model and drift monitoring for Loan Eligibility classification.
AjNavneet/Polynomial-Regression-using-Numpy
Polynomial Linear Regression model using NumPy.
AjNavneet/Robust-Fruit-Detection-YOLOv4
Robust fruit detection system using YOLOv4.
AjNavneet/Rossmann-Sales-Forecast-GCP-Deployment
Rossmann store sales forecasting taking into account various influencing factors along with GCP Cloud Deployment.
AjNavneet/Rule-Based-Recommendation-Market-Basket-Analysis-Retail
Rule based and market basket based recommendation system for retail data.
AjNavneet/Sequential-CNN-MultiClass-Classification-TensorFlow
Sequential CNN model using tensorflow for multi-class classification on images.
AjNavneet/Transactions-Anomaly-Detection-Deep-Autoencoder-Flask
Deep Autoencoder based anomaly detector for transactions data with flask deployment.