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.
CNN-MultiClass-Classification-PyTorch
PyTorch implementation of CNN model for multi-class classification.
Customer-Propensity-RFM-Purchase-Modelling
Propensity Modelling and RFM Analysis to predict users' likelihood of making a purchase.
E2E-Healthcare-Analytics-Snowflake-SageMaker
We use Snowflake and AWS Sagemaker for healthcare analytics for data spread across various regions and hospitals.
Graph-Recommender-FAISS-ECommerce
Graph based recommender system using FAISS for e-commerce depending on purchase and search history.
idkDSA-Knowledge-Graph
Resources for DSA interview preparation using Leetcode questions solved in Python, C++, Java and TypeScript.
RealEstate-Predictive-Analysis-Pune
Real-estate price predictive analysis using Regression, RF , XGBoost and MLP models coded in scikit-learn and TensorFlow.
TimeSeries-ARCH-GARCH-AWS-Deployment
ARCH and GARCH models along with MLOps pipeline using AWS platform to deploy model in a production environment.
TimeSeries-Greykite-NeuralProphet-Walmart-Flask
Time series model using Greykite and Neural Prophet on Walmart retail data along with Flask deployment.
AjNavneet's Repositories
AjNavneet/RealEstate-Predictive-Analysis-Pune
Real-estate price predictive analysis using Regression, RF , XGBoost and MLP models coded in scikit-learn and TensorFlow.
AjNavneet/Customer-Propensity-RFM-Purchase-Modelling
Propensity Modelling and RFM Analysis to predict users' likelihood of making a purchase.
AjNavneet/E2E-Healthcare-Analytics-Snowflake-SageMaker
We use Snowflake and AWS Sagemaker for healthcare analytics for data spread across various regions and hospitals.
AjNavneet/idkDSA-Knowledge-Graph
Resources for DSA interview preparation using Leetcode questions solved in Python, C++, Java and TypeScript.
AjNavneet/idkML-knowledge-Graph
Resources for exploring Machine Learning, Deep Learning and advanced topics.
AjNavneet/Insurance-Price-Forecast-XGBoost-Regression
XGBoost Regressor to predict healthcare expenses based on features such as age, BMI, smoking, etc.
AjNavneet/MultiTouch-Attribution-Marketing-Spend-Optimization
Multi-touch attribution models to determine the channels that lead to greater customer conversions.
AjNavneet/Transaction-Fraud-Detection-Isolation-Forest-LOF
Fraud transactional detection using Isolation Forest and Local Outlier Factor (LOF) models.
AjNavneet/Working-Capital-Optimization-AWSRDS-Predictive-Analytics
Predictive analysis for Working Capital Optimisation for forecasting timings of customer and supplier payments.
AjNavneet/Airlines-Classification-Clustering-PySparkML
Implemented Classification and Clustering models using Spark MLlib on Airlines Data.
AjNavneet/Burger-Sales-Forecast-LSTM-Sagemaker
Implemented LSTM based forecast system for burger sales along with AWS Sagemaker deployment.
AjNavneet/Business-License-Multiclass-Classifier-Ensemble
Ensemble multi-class classifiers on business license status data.
AjNavneet/Churn-Prediction-Ensemble-Techniques
Customer Churn classification using various ensemble techniques.
AjNavneet/Content-Based-Recommendation-W2V-FastText-GloVe-Streamlit
Content based filtering and similarity based recommender System and Streamlit deployment.
AjNavneet/Credit-Delinquency-Analysis-Regression-LIME-SHAP
Credit delinquency analysis on borrower information and historical records using classical and advanced regression techniques along with LIME,SHAP.
AjNavneet/Credit-Risk-Prediction-LightGBM-Hyperopt-SHAP
Predictive model for loan defaulters using LightGBM, HyperOpt and SHAP model interpretation.
AjNavneet/Cryptocurrency-Analytics-Incremental-ETL-Pipeline-AWSCDK
Implemented incremental ETL solution utilizing AWS CDK for analysing cryptocurrency data.
AjNavneet/Customer-Churn-HyperTuned-NeuralNetwork-PyTorch
Tuned Customer churn classification model by tuning key hyperparameters in PyTorch.
AjNavneet/Customer-Liability-To-Asset-Predictive-Analysis
Classifier for predicting customers who can be converted from liability to asset.
AjNavneet/E2E-Customer-Segmentation-PyCaret-Streamlit
We build end-to-end unsupervised solution for customer segmentation using PyCaret deploy the model using Streamlit.
AjNavneet/E2E-Ride-Analytics-AzureDataFactory-Databricks
Implemented enhanced analytics for trip transactions and ride-based data from SQL Server using Medallion Architecture with Azure Data Factory and Databricks.
AjNavneet/liquid-neural-network-template
Tutorial to implement Liquid Time-Constant Neural Network from scratch (eng\rus)
AjNavneet/MultiLabel-Shipment-Modes-Predictive-Models
Naive Independent Models, Classifier Chains, Natively Multilabel Models, and Multilabel to Multiclass Approach for predicting shipment modes.
AjNavneet/Piecewise-Spline-Regression-Numpy
Piecewise and Spline regression model using NumPy.
AjNavneet/Polynomial-Regression-using-Numpy
Polynomial Linear Regression model using NumPy.
AjNavneet/Regression-Models-Numpy-Lasso-Ridge-DT
Regression models(lasso, ridge, DT) using NumPy.
AjNavneet/Rule-Based-Recommendation-Market-Basket-Analysis-Retail
Rule based and market basket based recommendation system for retail data.
AjNavneet/Stock-Price-Prediction-YFinance-LSTM-RNN
Enhanced stock prices forecasting using Yfinance, LSTM and RNN.
AjNavneet/Transactions-Anomaly-Detection-Deep-Autoencoder-Flask
Deep Autoencoder based anomaly detector for transactions data with flask deployment.
AjNavneet/Trasportation-Analytics-MongoDB-Atlas-Compass
Implemented trucking and transportation analytics using MongoDB Atlas and Compass.