Geoffrey Ongeri's repositories
Data_Analysis_on_Medical_Appointments.ipynb
Data_Analysis_on_Medical_Appointments.ipynb
Analyzing-Moringa-Data-Science
Challenge: Analyzing Text about Data Science In this example, let's do a simple exercise that covers all steps of a traditional data science process. You do not have to write any code, you can just click on the cells below to execute them and observe the result. As a challenge, you are encouraged to try this code out with different data. Goal In this lesson, we have been discussing different concepts related to Data Science. Let's try to discover more related concepts by doing some text mining. We will start with a text about Data Science, extract keywords from it, and then try to visualize the result.
Data-Understanding-and-Preparation
Data undestanding and preparation for Retailer X
Detection-of-Fake-News
In this era of both mainstream and social media and yellow journalism, fake news is false information and hoaxes spread through social media and other online media to achieve a political agenda. In this project idea,I will use Python to build a model that can accurately detect whether a piece of news is real or fake by building a TfidfVectorizer and use a PassiveAggressiveClassifier to classify news into “Real” and “Fake”
Detectron-Tutorial
Detectron2 Beginner's Tutorial Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark In this tutorial of detectron2, we will go through some basics usage of detectron2, including the following: * Run inference on images or videos, with an existing detectron2 model * Train a detectron2 model on a new dataset
Diabetes-Classification
Predict weather a person has diabetes or not using Logistic Regresion
Fuel-Prices-in-Kenya
Data visualisation on the fuel prices in Kenya since 2010
jeffomanga
Jeff Omanga
Kenya-Political-Tweets
The Dataset we are using here is collected using Twitter API, tweepy and Python package.
Predicting-Insurance-claims
Predicting Insurance claims
Python
Python Exercises
Python-Boot-Camp-Projects
List of Projects Done During Python Boot Camp by .Lux Academy and Data Science East Africa.
RegistrationForm
A PHP based membership (registration/login) code
Suport-Vector-Machine
A Support Vector Machine is a supervised algorithm that can classify cases by finding a separator. SVM works by first, mapping data to a high-dimensional feature space so that data points can be categorized,In this notebook we use SVM (Support Vector Machines) to build and train a model using bank records, and classify bill authorisation to whether.SVM works by mapping data to a high-dimensional feature space so that data points can be categorized, even when the data are not otherwise linearly separable.
Websrapping
How to build a scraping tool for Linkedin