josephnyingi Goto Github PK

airbnb-rentals

This project entails the use of Airbnb data file to clean, analyse and create a report detailing the investment opportunities for Airbnb. It includes charts and graphs to support the proposal.

akan

web application that takes a user's birthday and calculates the day of the week they were born and then depending on their gender outputs their Akan Name. Akan names are derived from Ghanian culture. Frequently in Ghana, children are given their first name as a 'day name' which corresponds to the day in the week they were born. Here are Ghanian day names.

alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

carrefour_marketing_strategy

The goal of this analysis is come up with the most relevant marketing strategies for Carrefour that will result in the highest no. of sales (total price including tax).

code_valentine

Code bank partnered with Power learn project

crop-disease-detection

The project proposes a deep leaning based approach for use of image recognition on crops leaf disease detection.

delani-studio

Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing. Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed. Development All engineers are fluent in the latest enterprise, mobile and web development technologies. They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming. Product Management Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live. This iterative process allows for changes as business requirements evolve

ecolink_yeshackathon-project-1

electric_carsharing

The repo has Electric_carsharing python notebook Moringa data science prep IP week 4.

employee-attrition

Research by Team Tenet on Employee attrition dataset prepared by IBM Data Scientist to confirm the claim that monthly incomes earned by attrition employees with a masters degree is not different from that earned by those with a bachelors degree

exploratory-data-analysis

The goal of this analysis is to identify individuals who are most likely to click on a cryptography course advertisement. This project uses R for analysis.

exploratory-data-analysis-in-r

The goal of this analysis is to identify individuals who are most likely to click on a cryptography course advertisement. This project uses R for analysis.

financial-inclusion

Project entails come up with a model which can predict the individuals who are likely to have or access to commercial bank accounts that 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.

floating-waste-detection-in-inland-waters

The project aims to use Flow dataset build a machine learning model that will detect waste detection in inland waters. To prevent the wastes from getting into the ocean, it is important to clean up the floating wastes in inland waters.

hypothesis_testing_autolib_electric_sharing

This project aims to demonstrate the concept of hypothesis testing by investigating a claim about blue-cars using a dataset from an electric car-sharing service company called Autolib

hypothyroidsm_prediction_model

This project aims to use healthcare data provided by Nairobi Hospital to a build a prediction model that determines whether or not a patient's symptoms indicate the existence of hypothyroid. The analysis compare the prediction models from DecisionTree Classifier and that of Support Vector Machines (SVM) to establish the best prediction model.

josephnyingi.github.io

level_2_aquafeed_ke

majihub

The project proposes use of machine learning in water potability prediction.

my-first-website

pizza

This is a website that will help customers place order of their desired pizza and get delivered to their location.

real_estate_prediction_model

This repository contains a prediction model that can be used to accurately predict the sale price of houses given various predictor variables. Various regression models were tested after studying different factors that affect housing prices in the real estate industry. The models used in this analysis are multiple linear regression, quantile regression, ridge regression, lasso regression, and elastic net regression.

rhymes

Alice's repo. (This is an example repo for a how-to blog post about collaboration with Git.)

spam_detection_model

The goal of this analysis is to develop a classification model that will categorize an email as either spam or not spam by Naive Bayes classifier model.

studio

Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing. Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed. Development All engineers are fluent in the latest enterprise, mobile and web development technologies. They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming. Product Management Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live.

team2_dcs6_loan_prediction

Group project where we deciphered the loan prediction model using borrower profile

tetra.github.io

titanic-survival-prediction-model

Developing a prediction model to determine whether or not a passenger would survive on the titanic.

unspervised_and-supervised_learning_in_r

The goal of this analysis is to use past retail data to understand customers' behavior and learn the characteristics of various customer groups using supervised and unsupervised learning in R.