ochanyo

-Health-Data-Stories-A-case-of-Patient-Medical-Appointment-Attendance-In-Brazil

#HealthDataStories is a cycle of projects where we will seek to tell stories from a wide array of publicly available health datasets. We will explore the data, get insights and tell stories. We will listen to the data as it speaks to us. We will begin the series with a case study of patient attendance of their medical appointments in Brazil. The data used in this project is domiciled here. This case study comes from an understanding of: a patient calling/ sending a mesage to book a doctor's appointment, receives all the instructions and even timings for the said appointment and still does not show. We then ask ourselves the following questions: What proportion of the total number of patients who book their appointments actually miss? Who is to blame in such instances? What variable has the biggest influence on a patient missing their appointment? Does the government conditional cash transfer Bolsa Familia also called 'scholarship' improve medical appointment attendance? Is there a probability that we can flag/predict the chances of a patient who books an appointment missing the appointment? The inspiration to do this was mostly to see why patients do not show up for their appoinments and make interventions where possible; make predictions where possible depending on the patient variables presented and possibly avert the challenge of missing appointments. The net effect of this will be improved health outcomes for the patients.

BloodSisters-An-Analysis-of-Netflix-s-African-Production

Performed an Analysis of Tweets on the BloodSisters TV Series using NLP Techniques in Python and developed a Dashboard for the same.

Business-Intelligence-Project-using-Power-BI

In this repo, I created a very simple end-end-end Business Intelligence (BI) project using Power BI with a set of dummy data. But, before that, what is BI? In short, BI is a process of collecting, storing, analyzing, and converting raw data into actionable insights which help organizations make better data-driven decisions.

COVID-19-DATA-VISUALIZATION

This is a Project for the Jenga School Foundations Course.

Customer-Segmentation-Analysis-for-Online-Pharmacy-Sales

End-to-End-Diabetes-Prediction-Application-Using-Machine-Learning

In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.

Facebook-Sentiment-Analysis

Sentiment analysis also known as 'opinion mining' is the ability to classify opinions expressed in text and determine whether authors attitude is positive,neutral or negative. This classification is vital as it helps make brand decisions and build brand reputations over time. It also helps monitor customer feedback,brand and brand campaign. In this case we will use facebook comments attributed to Ponea Health account and products offered by Ponea Health. We will attempt to use both the three and five point ordinal scales to classify the comments. Since sentiment analysis involves natural language processing we will download and import python libraries to be used.

lwala

Machine-Learning-Roadmap

A roadmap for getting started with Machine Learning

Monkeypox-Classification

ochanyo/COVID-19-DATA-VISUALIZATION

This is a Project for the Jenga School Foundations Course.

ochanyo/Facebook-Sentiment-Analysis

Sentiment analysis also known as 'opinion mining' is the ability to classify opinions expressed in text and determine whether authors attitude is positive,neutral or negative. This classification is vital as it helps make brand decisions and build brand reputations over time. It also helps monitor customer feedback,brand and brand campaign. In this case we will use facebook comments attributed to Ponea Health account and products offered by Ponea Health. We will attempt to use both the three and five point ordinal scales to classify the comments. Since sentiment analysis involves natural language processing we will download and import python libraries to be used.

ochanyo/-Health-Data-Stories-A-case-of-Patient-Medical-Appointment-Attendance-In-Brazil

#HealthDataStories is a cycle of projects where we will seek to tell stories from a wide array of publicly available health datasets. We will explore the data, get insights and tell stories. We will listen to the data as it speaks to us. We will begin the series with a case study of patient attendance of their medical appointments in Brazil. The data used in this project is domiciled here. This case study comes from an understanding of: a patient calling/ sending a mesage to book a doctor's appointment, receives all the instructions and even timings for the said appointment and still does not show. We then ask ourselves the following questions: What proportion of the total number of patients who book their appointments actually miss? Who is to blame in such instances? What variable has the biggest influence on a patient missing their appointment? Does the government conditional cash transfer Bolsa Familia also called 'scholarship' improve medical appointment attendance? Is there a probability that we can flag/predict the chances of a patient who books an appointment missing the appointment? The inspiration to do this was mostly to see why patients do not show up for their appoinments and make interventions where possible; make predictions where possible depending on the patient variables presented and possibly avert the challenge of missing appointments. The net effect of this will be improved health outcomes for the patients.

ochanyo/BloodSisters-An-Analysis-of-Netflix-s-African-Production

Performed an Analysis of Tweets on the BloodSisters TV Series using NLP Techniques in Python and developed a Dashboard for the same.

ochanyo/Business-Intelligence-Project-using-Power-BI

In this repo, I created a very simple end-end-end Business Intelligence (BI) project using Power BI with a set of dummy data. But, before that, what is BI? In short, BI is a process of collecting, storing, analyzing, and converting raw data into actionable insights which help organizations make better data-driven decisions.

ochanyo/Customer-Segmentation-Analysis-for-Online-Pharmacy-Sales

ochanyo/End-to-End-Diabetes-Prediction-Application-Using-Machine-Learning

In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.

ochanyo/lwala

ochanyo/Machine-Learning-Roadmap

A roadmap for getting started with Machine Learning

ochanyo/Monkeypox-Classification

ochanyo/ochanyo

Config files for my GitHub profile.

ochanyo/Tic-Tac-Toe

Demonstrates Adversarial Game Play

ochanyo/Web-App-Model-Deployment-With-Streamlit

This repository is on Building a Simple Linear Regression Model and then deploying is as a Web App With Streamlit App