joeldias

Customer-segmentation

Deliver actionable insights to a charitable organization on their donors / customer segmentation / classification

Feature-Engineering-for-Fraud-Detection

Implementation of feature engineering from Feature engineering strategies for credit card fraud

LearnAI-RecommendationSystemsusingAML

This repository contains learning materials related to building Recommendation Systems using Azure ML DataPrep SDK, Azure ML Services and Azure Databricks

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

amazon-fine-food-reviews

amazon-sagemaker-examples

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

CNN_sentence

CNNs for sentence classification

datalab-recruitment

kaggle_waterpumps_2

KNN-VideoGameChurn-Prediction

Forecasting Retention and Churn in Free-to-Play (F2P) Mobile App Games using Python & R

Market-Basket-Analysis

Implementation of Apriori algorithm in Python to carry out a market basket analysis and understand the links/affinity between products that exist within customer transactions.

medium

A collection of Medium posts

News-Classification-NLP-TFIDFVectorizer

Predictive model to classify news articles as business, entertainment, politics, sport, tech.

Predictive-Model

Churn Model for an online retailer

Recommendation-System

Collaborative filtering models for recommending products to customers using the purchase data.

Self-Driving-car

Applying Convolutional Neural Network ( CNN ) on a dataset which contains around 45K images and steering wheel angle for all these images .

serverless_inference

Hosting PyTorch models in AWS Lambda backed by Amazon EFS

tforce_btc_trader

TensorForce Bitcoin Trading Bot

Time-Series-Forecasting

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values