Shreesha Jagadeesh's repositories
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
Predicting-Credit-Card-Fraud
Contains the Jupyter notebook for predictive modelling of credit card frauds
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
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
AV-Timeseries-Hackathon
Analytics Vidhya conducted a hackathon on the 2nd of May for predicting Energy consumption on time series data
Deployment-of-ML-Models
End-to-end ML pipeline for deployment
Feature-Engineering-for-ML
Various techniques to preprocess data before feeding into a machine learning model
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
Manning_Reviews
Live projects and book reviews
ML-to-Production-Toolkit
Best practices for Model build governance, Environment/package management, ML Interpretability & Cloud Hosting cost estimation
Predicting-Customer-Churn
Contains 5 Jupyter notebooks
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)
RetailRecommender
UCI dataset on a UK online retailer
Unsupervised-Learning-Techniques
Recommender System using Restricted Boltzman Machines (RBMs), Deep Belief Networks (DBNs), Generative Adversarial Networks (GANs)
Zero-to-Agile-DS
Collection of solved Data Science problems for various business use cases structured from simple to the complex