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Hi there šŸ‘‹ I'm Samuel Muriithi Wanjiru

NGWA

āœØ Samuel Wanjiru is both a software engineer and an award winning data science professional. He holds a Master of Science degree in Applied Statistics and has published one scientific research journal in the field of machine learning and financial time series. Further, he holds a Bachelors of Science degree in Mathematics & Computer Science. āœØ

  • šŸ‘€ Feel free to view and improve my work
  • šŸ”­ Iā€™m currently working on a smartification technique to deal with crop diseases using a machine learning technique
  • šŸ‘Æ Iā€™m looking to collaborate on different data science projects more so in the area of agriculture and climate change.

šŸ’¬ Ask me about

  • Python programming
  • R programming
  • Geographic Information Systems (GIS)
  • Power BI
  • javascript
  • HTML & CSS
  • SQL

šŸ“« You can view some of my projects and contact information at:

Samuel Wanjiru 's Projects

bike-sharing-forecast icon bike-sharing-forecast

This repository contains an analysis and one-step ahaed forcasting of bike sharing demand in the city of New York

credit-risk-analysis icon credit-risk-analysis

This repository contains a step by step analysis of a credit dataset. A keras model is used in the predictive analytics part.

diabetes-prediction icon diabetes-prediction

Diabetes prediction among pregnant women using Logistic Regression and K-Nearest Neighbor algorithm.

k-nearest-neighbor icon k-nearest-neighbor

This repository contains step by step of how the KNN algorithm is used to do classifications. The dataset used is of is also contained in the repository for ease of reference.

loan_eligibility icon loan_eligibility

This repo contains a step by step analysis of loan eligibility data. It goes ahead into model training, loan eligibility prediction and model deployment. Happy coding.

mnist_image_classification icon mnist_image_classification

This repo contains an R file that explains step by step the process of analyzing and the MMIST data images. It also outlines in detail how one can use python in an R script.

principal_component_analysis icon principal_component_analysis

In this Jupyter notebook, we will be performing Principal Component Analysis (PCA) using the Iris data set as an example.

recommender_system_amazon_reviews icon recommender_system_amazon_reviews

This repo contains a well explained step by step approach of how to build a recommender system. The focal point of the system is based on the Amazon e-commerce platform user/customer reviews.

working-with-json-files-in-python icon working-with-json-files-in-python

This repository contains a notebook that explains step by step how to work with json files in python. You will learn how to read, excecute and bypass errors that arise as a result of using json files in pandas.

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