Julius Ndung’u
  • Blogs
    • Statistical Tests
    • Machine Learning
    • Data Visualization
    • East Africa
    • Dashboard And it’s Importance
    • Kenya GDP growth(10% by 2030)
    • Experimental Designs
  • Projects
  • ABOUT ME

Customer segmentationusing k-means clustering

In today’s competitive business landscape, understanding and effectively catering to the needs of your customers is paramount for success. Customer segmentation, the practice of dividing customers into groups based on shared characteristics, allows businesses to personalize marketing efforts, optimize product offerings, and enhance overall customer experience.
Jun 20, 2024
Julius

Impact of Budget Deficits on Economic Growth: Evidence from Kenya

Fiscal policy encompasses government decisions on taxation, spending, and borrowing aimed at shaping a country’s economy. A pivotal component of fiscal policy is the national budget, which outlines government revenue and expenditure plans for a specified period (Nizamuddin, 2021). A budget deficit occurs when government spending exceeds its revenue during a fiscal year (Dick, 2022). This deficit has profound implications for economic stability and growth. Globally, the COVID-19 pandemic precipitated an expansion in budget deficits as governments implemented extensive fiscal measures to buoy economies during periods of lockdown and reduced economic activity (Haroutunian et al., 2021). According to the International Monetary Fund (IMF), the average global budget deficit as a percentage of GDP was approximately 3.8% in 2020. Kenya, an emerging economy in Africa, has witnessed substantial economic growth over recent decades, driven by sectors such as agriculture (21.2% of GDP), manufacturing (17.7%), and services (61.1%) (Kenya National Bureau of Statistics, 2023). However, persistent budget deficits, averaging 8% of GDP over the past five years, have necessitated increased borrowing to cover shortfalls (Njarara, A., 2017). These deficits raise concerns among policymakers, economists, and international financial institutions regarding their impact on economic stability and long-term growth prospects.
Jun 20, 2024

Disease prediction using Ensemble Method

Breast cancer remains a significant global health concern, affecting millions of individuals worldwide and posing formidable challenges to healthcare systems. Timely and accurate diagnosis is paramount in guiding treatment decisions and improving patient outcomes. This project delves into the realm of predictive modeling specifically focused on breast cancer diagnosis. By harnessing the power of machine learning and leveraging a rich dataset comprising clinical and diagnostic features, this endeavor aims to develop a robust predictive model capable of discerning between malignant and benign tumors with high accuracy.
Jun 20, 2024
Julius Ndung’u

House Price Prediction

In today’s dynamic real estate market, accurately predicting house prices is crucial for both buyers and sellers to make informed decisions. With the ever-changing landscape of property values influenced by various factors such as location, size, amenities, and market trends, leveraging data-driven insights becomes imperative.
Jun 20, 2024
Julius

Loan Approval Prediction

Dream Housing Finance company deals in all kinds of home loans. They have presence across all urban, semi urban and rural areas. Customer first applies for home loan and after that company validates the customer eligibility for loan. Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have provided a dataset to identify the customers segments that are eligible for loan amount so that they can specifically target these customers.
Jun 20, 2024
Julius

Retail Sales Dashboard

Retail Store Sales Dashboard
Jun 20, 2024
Julius

Sentiment Analysis of Hotel Reviews

In the hospitality industry, understanding customer opinions and sentiments is crucial for maintaining high levels of customer satisfaction and improving overall service quality. Sentiment analysis of hotel reviews provides valuable insights into customer preferences, opinions, and experiences, enabling hotel management to identify areas for improvement and make informed decisions.
Jun 20, 2024
Julius Ndung’u
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