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This repository consists of 7 machine learning projects implementing various machine learning algorithms like XGBoost, LinearRegression, k-means Clustering, NLP in Amazon Sagemaker Notebook. AWS Lambda and API Gateway are used to deploy the ML models in web app.

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rixant/ML-Engineer-Nanodegree

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Machine Learning Engineer Nanodegree

Introduction

This repository consists of 7 machine learning projects implementing various machine learning algorithms like XGBoost, LinearRegression, k-means Clustering, NLP in Amazon Sagemaker Notebook. AWS Lambda and API Gateway are used to deploy the ML models in web app.

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What's Inside

  1. Boston Housing Prediction
  2. Moon Data
  3. Payment Fraud Detection
  4. Population Segementation
  5. Sentiment Analysis
  6. Palgiarism Detector
  7. Starbucks Challenge

About

This repository consists of 7 machine learning projects implementing various machine learning algorithms like XGBoost, LinearRegression, k-means Clustering, NLP in Amazon Sagemaker Notebook. AWS Lambda and API Gateway are used to deploy the ML models in web app.

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