GitHub / ngangawairimu 1 Repository
As a data analyst I am passionate for extracting valuable insights from data, I am committed to driving data-informed decision and keep learning.
ngangawairimu/Cardiovascular-Disease-Prediction
This project implements a logistic regression model to predict the likelihood of developing coronary heart disease over the next 10 years. The model is trained using a dataset containing various health metrics such as age, sex, smoking habits, cholesterol levels, and blood pressure.
Language: Jupyter Notebook - Size: 322 KB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ngangawairimu/Data-Validation-using-python
Agricultural dataset validated using python code for usage. Building a data pipeline that will ingest and clean data with the press of a button.
Language: Jupyter Notebook - Size: 627 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ngangawairimu/Funnel-Analysis-project-
This project analyzes user engagement data to visualize the funnel stages from page_view to purchase. Using SQL and data visualization, it identifies drop-off points, calculates conversion rates, and provides insights to enhance user retention, optimize experiences, and boost conversions.
Size: 1.35 MB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ngangawairimu/Customer-Lifetime-Value-CLV-and-Customer-Segmentation-RFM-Project
This project performs cohort analysis to estimate Customer Lifetime Value (CLV) by analyzing weekly revenue and user registrations over 12 weeks, forecasting future revenue, and providing actionable insights for marketing and business strategy.
Size: 357 KB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ngangawairimu/Retention-Cohort-Churn-Analysis
About This project analyzes subscriber retention through cohort analysis, highlighting retention trends and churn patterns over time. It uses SQL for data extraction and Python for visualization and analysis, offering actionable retention strategies.
Size: 32.2 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
ngangawairimu/ngangawairimu
Config files for my GitHub profile.
Size: 2.93 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
ngangawairimu/Data-visualization-with-python
Analyzed Coursera Course Dataset using Python for exploratory data analysis (EDA) and visualization to uncover insights on ratings, enrollments, and course attributes, providing actionable recommendations to optimize course offerings and enhance learner engagement.
Language: Jupyter Notebook - Size: 643 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
ngangawairimu/regression-model-for-predicting-house-prices
This project focuses on applying statistical modeling techniques to predict house prices in Melbourne using the Melbourne House Price dataset. It involves data cleaning, exploratory data analysis (EDA), feature selection, and fitting a regression model to predict the target variable, which is the house price.
Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
ngangawairimu/Marketing_AB_Testing_Project
This project analyzes A/B testing data to evaluate the effectiveness of three marketing campaigns. By conducting pairwise comparisons using statistical tests with a 99% confidence level, it identifies the best-performing campaign, providing actionable insights to optimize marketing strategies and boost overall sales performance.
Size: 35.2 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
ngangawairimu/Exploratory-Data-Analysis-EDA-for-water-accessbility
Water Accessibility is a project that involve using sql for data analysis to solve poeple big challenge which aimed at monitoring and analyzing water accessibility in Majindogo Nation.
Size: 4.35 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
ngangawairimu/Data-processing-with-Pandas-Music-Trends-on-Spotify.
This project analyzes Spotify’s top tracks dataset, exploring trends in musical features, artist popularity, genre distribution, and correlations between various song attributes.
Language: Jupyter Notebook - Size: 274 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
ngangawairimu/Chess-Capture-Program
This project is a Python-based interactive chess program that allows users to determine which black pieces can be captured by a specified white piece (either a knight or pawn) based on its position on the board.
Language: Python - Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
ngangawairimu/Analyzing-Movie-and-TV-Show-Data
The TMDb Database Analysis project explores and extracts insights from The Movie Database (TMDb), a comprehensive dataset containing information about movies and TV shows.
Language: Jupyter Notebook - Size: 8.27 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
ngangawairimu/Automating_Farming_Analysis
This project automates farming in Maji Ndogo, analyzing soil fertility, climate, and geography to recommend optimal crop locations. Python-based data analysis I uncovers patterns guiding farming practices.
Language: Jupyter Notebook - Size: 682 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
ngangawairimu/Sales-Analysis-and-Customer-Insights
This project features SQL queries for detailed customer and sales analysis:Customer Analysis and Sales Reporting
Size: 35.2 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
ngangawairimu/Sales-Analysis
Sales analysis using spreadsheet include trends in monthly sales, insights on online versus non-online orders, delivery performance metrics, top salespersons, countries, and reasons for sales. Each section provides clear visualizations, actionable insights i verview tab.
Size: 4.88 KB - Last synced at: 6 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
ngangawairimu/Decision-tree-model
Analyzed global population data using decision tree regression, calculating growth rates and evaluating model performance with RMSLE for insights.
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
ngangawairimu/Microsoft-Power-BI--Dashboards
This project incude visualization pdf showing different visualization using Microsoft power bi tool
Size: 31.9 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
ngangawairimu/Linear-Regression-
This project builds a linear regression model in Python to predict outcomes and derive insights from feature data. It covers data cleaning, feature analysis, and model evaluation, showcasing predictive modeling techniques using scikit-learn, pandas, and visualization libraries.
Language: Jupyter Notebook - Size: 149 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0