Pinned Repositories
AD-CLICK-PROBABILITY-PREDICTION
ONLINE ADVERTISEMENTS: Determining the audience type/individuals most likely to click on ads on an online blog and the frequency of visits.
Artificial-Intelligence-applied-to-Business-with-Python
Make own artificial intelligence software and also to make an artificial intelligence portfolio
AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
awesome-business-intelligence
Actively curated list of awesome BI tools. PRs welcome!
CENSUS-DASHBOARD
CENSUS DASHBOARD: visualization and prediction of the socioeconomic factors using the 2019 census data with reference to the previous years.
Deworming-children
Conduct exploratory data analysis State an appropriate research question you would want to answer from the data Carry out appropriate data analysis to address the question you have stated above
IPWK6-CORE
MCHEZOPESA FOOTBALL PREDICTION: A prediction result of a game between team 1 and team 2, based on who's home and who's away, and on whether or not the game is friendly
PREDICTION-OF-CAB-PRICES-UBER-LYFT-
PREDICTION OF CAB PRICES: Understanding and determining the factors that affect the cab prices, and predicting the costs of the trips based on the factors determined.
sample-x-x
WHO-LIFE-EXPECTANCY-PROJECT
WHO LIFE EXPECTANCY: Studying the factors that affect/contribute to life expectancy and analyzing the changes over the last 15years, that is between 2000-2015.
she-osprey's Repositories
she-osprey/IPWK10-CORE-ZINDI-COVID-HACKATHON
ZINDI - HACKATHON: The task is to predict the percentage of households that fall into a particularly vulnerable bracket - large households who must leave their homes to fetch water - using 2011 South African census data. Solving this challenge will show that with machine learning it is possible to use easy-to-measure stats to identify areas most at risk even in years when census data is not collected.
she-osprey/IPWK9-CORE
IMPLEMENTATION OF KNN & NAIVE BAYES CLASSIFIERS: This week's project requires us to implement a K-nearest neighbor (kNN) classifier and a Naive Bayes classifier.
she-osprey/IPWK8-CORE
HYPOTHYROIDISM: Building a model that determines whether or not the patient's symptoms indicate that the patient has hypothyroid.
she-osprey/IPWK7-CORE
HASS CONSULTING COMPANY - REAL ESTATE: study the factors that affect housing prices using the given information on real estate properties that was collected over the past few months. Later onwards, create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables.
she-osprey/WHO-LIFE-EXPECTANCY-PROJECT
WHO LIFE EXPECTANCY: Studying the factors that affect/contribute to life expectancy and analyzing the changes over the last 15years, that is between 2000-2015.
she-osprey/IPWK4-CORE
Autolib electric car-sharing service company: investigating a claim about the blue cars from the provided Autolib dataset.--------HYPOTHESIS TESTING
she-osprey/IPWK3-CORE
Sampling plan for the analysis of the medical income for the different cities. The sample will be used to determine the distribution of the general population among others.
she-osprey/IPWK2-CORE
FINANCIAL INCLUSION: Predicting which individuals are most likely to have or use a bank account. the solution will help provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania, and Uganda while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes
she-osprey/IPWK1-CORE
KARAMOJA FOOD INSECURITY: Interactive data visualizations for the food security monitoring tool that will be developed by the DDI for Karamoja NGO
she-osprey/TEAM_1_PROJECT_DATA
COUNTY COVID-19 PREPAREDNESS : The main objective of this project is to rank counties in Kenya on COVID-19 preparedness.
she-osprey/IPWK4-PREP
Electric car-sharing service company : analysis and understanding of electric car usage overtime
she-osprey/IPWK3-PREP
Data reporting: MTN Cote d'Ivoire - a strategy for infrastructure upgrade within cities by the telecom company
she-osprey/IPWK2-PREP
(i) Python dictionaries ----- (ii) Helping a candidate to become US president by identifying the states that should be prioritized to win the election. ----- Hint: The winner of the election will be the candidate winning the most grand electors.
she-osprey/IPWK1-PREP
Introduction to Python and SQL for Data Science & Career planning
she-osprey/tdesktop
Telegram Desktop messaging app
she-osprey/MTN_Upgrade_Strategy
Analysis of mobile data to with an aim of understanding mobile usage in various cities in the Ivory Coast to help MTN Cote D'Ivore implement a suitable upgrade strategy.
she-osprey/training
she-osprey/Web-Development-2
This repository will Include both Front-end and Back-end development in lights of HTML, CSS, JavaScript, PHP etc and many also include some frameworks.
she-osprey/DV-PHP-CORE
Devless is a ready-made back-end for development of web or mobile applications. It is fully open source under the permissive Apache v2 license. This means that you can develop your front end without worrying about neither back-end code or the business risk of a proprietary backend-as-a-service.
she-osprey/Web-development
Simple front end HTML5/CSS3 and Php MySQL repository
she-osprey/Datasci_Resources
Collection of Resources useful for Data Science projects
she-osprey/Databazel
The analytical and reporting solution for MongoDB
she-osprey/Web-Development-1
Learning Front-end and Back-end Web development (html, Css, Bootstrap, Javascrpt, PHP, mySQL)
she-osprey/Kaggle
Solution to Web Traffic Predictions competition on Kaggle.
she-osprey/lab-02-CSC174-Advanced-Front-End-Web-Development
PHP_Includes
she-osprey/Data-Analysis-Practice
Data Analysis Practice