Pinned Repositories
-SyriaTel-Customer-Churn-Analysis
Implemented an advanced customer churn prediction model for a telecommunications company, Syriatel. Leveraging data-driven insights and predictive analytics, I developed a robust solution that accurately identifies potential
alx-higher_level_programming
alx-low_level_programming
I am learning C programming in the ALX software engineering program
alx-system_engineering-devops
Learning System engineering Dev Ops from ALX SE Curricullum
EarlyHeart-Predictive-Modeling-for-Early-Heart-Disease-Detection
This project is a machine learning-based solution for predicting heart disease. It involves data analysis, model training, and deployment on AWS Elastic Beanstalk. The deployed application allows users to input patient data and receive predictions regarding the likelihood of heart disease.
End_to_end_data_pipeline--Optimizing_Online_Retail_Analytics_with_Data_and_Analytics_Engineering
Developed an end-to-end data pipeline for optimizing Online Retail analytics. This includes leveraging Google Cloud services, using Terraform for Infrastructure as Code, and implementing CI/CD practices. The pipeline integrates transactional data into BigQuery for data modeling and transformation with dbt (Data Build Tool) and utilizes Looker Studi
Generative-AI--AI-Powered-Data-Extraction-and-Content-Retrieval-with-GenAI-Stack-from-AI_Planet_Hub
This project combines advanced technologies to create a versatile system that excels in extracting valuable data from online sources and providing insightful answers to user queries. By leveraging GenAI Stack's powerful components, including Langchain ETL for data extraction and Hugging Face Embeddings for natural language understanding, the projec
Generative-AI--Fine-Tuning-a-Hugging-Face-Transformer-Model-for-Code-Generation
Kitchenware-Image-Classification-System-with-Keras-Deploying-and-Testing-with-AWS-Lambda
Developed a Kitchenware Image Classification System using Keras, AWS Lambda, and TensorFlow Lite. The project focuses on automating the categorization of kitchenware items such as cups, forks, glasses, knives, plates, and spoons.
monty
Description: The Monty project is a stack-based interpreter written in C that processes Monty bytecode files. It executes opcodes to manipulate a stack, performing stack operations, arithmetic, and error handling, offering a basic tool for learning stack-based programming.
Isaac-Ndirangu-Muturi-749's Repositories
Isaac-Ndirangu-Muturi-749/End_to_end_data_pipeline--Optimizing_Online_Retail_Analytics_with_Data_and_Analytics_Engineering
Developed an end-to-end data pipeline for optimizing Online Retail analytics. This includes leveraging Google Cloud services, using Terraform for Infrastructure as Code, and implementing CI/CD practices. The pipeline integrates transactional data into BigQuery for data modeling and transformation with dbt (Data Build Tool) and utilizes Looker Studi
Isaac-Ndirangu-Muturi-749/Kitchenware-Image-Classification-System-with-Keras-Deploying-and-Testing-with-AWS-Lambda
Developed a Kitchenware Image Classification System using Keras, AWS Lambda, and TensorFlow Lite. The project focuses on automating the categorization of kitchenware items such as cups, forks, glasses, knives, plates, and spoons.
Isaac-Ndirangu-Muturi-749/monty
Description: The Monty project is a stack-based interpreter written in C that processes Monty bytecode files. It executes opcodes to manipulate a stack, performing stack operations, arithmetic, and error handling, offering a basic tool for learning stack-based programming.
Isaac-Ndirangu-Muturi-749/alx-higher_level_programming
Isaac-Ndirangu-Muturi-749/alx-low_level_programming
I am learning C programming in the ALX software engineering program
Isaac-Ndirangu-Muturi-749/alx-system_engineering-devops
Learning System engineering Dev Ops from ALX SE Curricullum
Isaac-Ndirangu-Muturi-749/EarlyHeart-Predictive-Modeling-for-Early-Heart-Disease-Detection
This project is a machine learning-based solution for predicting heart disease. It involves data analysis, model training, and deployment on AWS Elastic Beanstalk. The deployed application allows users to input patient data and receive predictions regarding the likelihood of heart disease.
Isaac-Ndirangu-Muturi-749/Isaac-Ndirangu-Muturi-749
Welcome to my github page
Isaac-Ndirangu-Muturi-749/Maze-Project---3D-Game-Using-Raycasting
3D Maze Game: Utilizes raycasting to render a 2D representation of a 3D maze environment. Starter This project is a 3D maze game implemented in C. It uses raycasting to render a 2D representation of a 3D maze environment. The game features player movement, collisions, textured walls, rain effects, and more.
Isaac-Ndirangu-Muturi-749/Time-Series-Forecasting-for-Electric-Power-Consumption
This project employs time series forecasting on household electric power consumption data spanning 47 months. Using univariate modeling with Facebook Prophet, the analysis addresses missing values and extends to multivariate forecasting. Evaluation metrics such as RMSE and MAE gauge model performance.
Isaac-Ndirangu-Muturi-749/Understanding-the-Amazon-from-Space---computer-vision--classification-
In our neural network project, we aimed to develop an effective model for classifying satellite images from the Planet dataset, which includes various environmental labels. We began by preprocessing the data, extracting unique labels, and utilizing transfer learning with a pre-trained model.
Isaac-Ndirangu-Muturi-749/AirBnB_clone
The goal of this project is to deploy on myserver a simple copy of the AirBnB website.
Isaac-Ndirangu-Muturi-749/AirBnB_clone_v2
Isaac-Ndirangu-Muturi-749/AirBnB_clone_v3
Isaac-Ndirangu-Muturi-749/AirBnB_clone_v4
Isaac-Ndirangu-Muturi-749/alx-backend-javascript
Isaac-Ndirangu-Muturi-749/alx-interview
Isaac-Ndirangu-Muturi-749/binary_trees
Isaac-Ndirangu-Muturi-749/data-engineering-zoomcamp
Free Data Engineering course!
Isaac-Ndirangu-Muturi-749/Data_Engineering_Zoomcamp_2024
DE Zoomcamp is a comprehensive data engineering course that covers various aspects of building scalable and efficient data pipelines. The course provides a hands-on approach to learning key concepts, tools, and technologies used in the field of data engineering.
Isaac-Ndirangu-Muturi-749/Data_Engineering_Zoomcamp_2024_2
DE Zoomcamp is a comprehensive data engineering course that covers various aspects of building scalable and efficient data pipelines. The course provides a hands-on approach to learning key concepts, tools, and technologies used in the field of data engineering.
Isaac-Ndirangu-Muturi-749/dsc-my-little-rainbow-lab
Isaac-Ndirangu-Muturi-749/FitBit_Tracker_Insights__Unveiling-Trends-in-Wellness-Technology-Consumer-Behavior
FitBit Tracker Insights: Analyzing Fitbit data to uncover trends in wellness technology consumer behavior using R programming on Kaggle.
Isaac-Ndirangu-Muturi-749/Hamoye-Data-Science-Internship
Isaac-Ndirangu-Muturi-749/isaac-ndirangu-muturi-749.github.io
Isaac-Ndirangu-Muturi-749/mage-zoomcamp
This repository will contain all of the resources for the Mage component of the Data Engineering Zoomcamp: https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main
Isaac-Ndirangu-Muturi-749/MLOps-zoomcamp-2024
MLOps ZoomCamp offers comprehensive training in Machine Learning Operations, covering deployment, monitoring, and management of ML models, fostering efficient deployment pipelines and robust production systems.
Isaac-Ndirangu-Muturi-749/risingwave-data-talks-workshop-2024-03-04
DataTalks Workshop Materials
Isaac-Ndirangu-Muturi-749/sorting_algorithms
Isaac-Ndirangu-Muturi-749/Zoomcamp-2023-Machine-Learning-Engineering-
learning machine learning engineering