• Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 3 years ago
  • Updated over 3 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

In this repo, I demonstrate my machine learning skills by using SageMaker to build a sentiment analysis model and show my web development skills by deploying the model to a web app

More Repositories

1

HR-Analytics-Descriptive-Predictive-and-Prescriptive-Analysis-of-Employee-Turnover

This repository contains data science projects and problems I have solved with the skills that I have acquired and those that I gain as I break into data science. From end to end skills like Feature engineering, Exploratory Data Analysis, Model tuning and deployment to specialized skills like ML Engineering, Advanced Data Visualizations.
Jupyter Notebook
4
star
2

Planned-Prevantative-Maintanance

CSS
1
star
3

Recommender-System-for-IBM-Watson-Studio

This is a recommender system built for the IBM Watson cloud community. It uses rank based and knowledge based recommendations to recommend articles to users.
Jupyter Notebook
1
star
4

Optimising-Starbucks-rewards-program

This repo contains a business solution to the starbucks rewards problem of determining optimal target marketing for their offers.
Jupyter Notebook
1
star
5

Disaster-Response-Pipeline

This repo containsETL and Machine learning NLP Pipelines for Disaster Response. The pipelines are deployed in a flask web app
Python
1
star
6

World-Bank-Data-Dashboard

This repository contains a data dashboard visualisation world bank data deployd on a web app using bootstrap, flask and plotly
Python
1
star
7

Movie-Recommendation-System

This repo is a movie recommendation system built using movie data collected by Movietweetings
Python
1
star
8

StarBucks-Promotional-Strategy-Optimisation

Ths repo contains a solution to a StarBuckssimulated marketing problem. StarBuck seeking an optimisation strategy model to target best customers
Jupyter Notebook
1
star
9

Population-Segmentation-Using-SageMaker

This repository contains an implementation of Machine learning. Using Amazon SageMaker, US Population is segmented to answer some busines questions. PCA and Kmean clustering are used
Jupyter Notebook
1
star
10

Air-BnB-Customer-Experience-improvement-and-Pricing-Analysis

This is a repo that contains a detailed EDA on AirBnB Seattle data that was listed on kaggle. It answers major questions about AirBnB listings, the trends, factors influencing prices of listings and metrics for improving customer experience
Jupyter Notebook
1
star