ShreeshaJay

Data-Engineering-for-Data-Scientists

Set of tools, frameworks and platforms to turn a Python ML model into an end-to-end solution that can be consumed via REST API

Predicting-Credit-Card-Fraud

Contains the Jupyter notebook for predictive modelling of credit card frauds

SIGIR-ecom-data-challenge

TensorFlow-Extended

ML platform implemented by Google for simplifying the development of end-to-end ML pipelines. TFX is used for Data Analysis/Transformation/Validation, Model Training/Evaluation/Validation and Serving

ShreeshaJay/TensorFlow-Extended

ML platform implemented by Google for simplifying the development of end-to-end ML pipelines. TFX is used for Data Analysis/Transformation/Validation, Model Training/Evaluation/Validation and Serving

ShreeshaJay/Predicting-Credit-Card-Fraud

Contains the Jupyter notebook for predictive modelling of credit card frauds

ShreeshaJay/Data-Engineering-for-Data-Scientists

Set of tools, frameworks and platforms to turn a Python ML model into an end-to-end solution that can be consumed via REST API

ShreeshaJay/SIGIR-ecom-data-challenge

ShreeshaJay/amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

ShreeshaJay/AV-Timeseries-Hackathon

Analytics Vidhya conducted a hackathon on the 2nd of May for predicting Energy consumption on time series data

ShreeshaJay/Deployment-of-ML-Models

End-to-end ML pipeline for deployment

ShreeshaJay/Feature-Engineering-for-ML

Various techniques to preprocess data before feeding into a machine learning model

ShreeshaJay/Feature-Selection-for-ML

Various techniques (Filter, Wrapper and Embedded Methods) to select features from training data after feature engineering & preprocessing but before feeding into the model

ShreeshaJay/Manning_Reviews

Live projects and book reviews

ShreeshaJay/ML-to-Production-Toolkit

Best practices for Model build governance, Environment/package management, ML Interpretability & Cloud Hosting cost estimation

ShreeshaJay/Predicting-Customer-Churn

Contains 5 Jupyter notebooks

ShreeshaJay/Predicting-Financial-Bankruptcy

Machine Learning series to analyze and predict which customers will be financially delinquent in the next 2 years. The original dataset is present in the Kaggle website (https://www.kaggle.com/c/GiveMeSomeCredit/data)

ShreeshaJay/RetailRecommender

UCI dataset on a UK online retailer

ShreeshaJay/Unsupervised-Learning-Techniques

Recommender System using Restricted Boltzman Machines (RBMs), Deep Belief Networks (DBNs), Generative Adversarial Networks (GANs)

ShreeshaJay/Zero-to-Agile-DS

Collection of solved Data Science problems for various business use cases structured from simple to the complex