Isaac-Ndirangu-Muturi-749

Isaac-Ndirangu-Muturi-749's Stars

• davidmasse/freelancer-rates

  Drivers of freelancer success on Upwork.com

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• Pericles001/printf

  Group project: writing our own printf function

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• 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

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• Isaac-Ndirangu-Muturi-749/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

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• 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.

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• 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.

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• Isaac-Ndirangu-Muturi-749/alx-higher_level_programming

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• Isaac-Ndirangu-Muturi-749/Amazon-Book-Recommendations-System

  This was a project that we collaborated in Moringa Data Science School for the 4th phase.

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• Isaac-Ndirangu-Muturi-749/Box-Office-Movie-Analysis

  Box office movies analysis using SQLite and Pandas

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• Isaac-Ndirangu-Muturi-749/css-exercises

  from the odin project to practise css

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• Isaac-Ndirangu-Muturi-749/dsc-derivatives-intro-lab

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• Isaac-Ndirangu-Muturi-749/dsc-hypothesis-testing-lab

  moringa

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• Isaac-Ndirangu-Muturi-749/dsc-multiple-regression-cumulative-lab

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• Isaac-Ndirangu-Muturi-749/dsc-polynomial-regression-lab-v2-5

  moringa school

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• Isaac-Ndirangu-Muturi-749/dsc-productionizing-models-with-sagemaker

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• Isaac-Ndirangu-Muturi-749/dsc-website-ab-testing-lab

  moringa data science

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• Isaac-Ndirangu-Muturi-749/dsc-xgboost-lab

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• 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.

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• Isaac-Ndirangu-Muturi-749/Exploring-US-Bikeshare-data-in-3-major-cities-in-USA---python-script-web-app-deployment-using-flask

  This repository contains a Python script for analyzing bikeshare data from various U.S. cities and a web application deployed using Flask. Users can filter data by city, month, and day to view statistics and insights into bike sharing trends. The interactive interface makes data exploration easy and engaging

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• Isaac-Ndirangu-Muturi-749/Generative-AI--Fine-Tuning-a-Hugging-Face-Transformer-Model-for-Code-Generation

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• Isaac-Ndirangu-Muturi-749/Isaac-Ndirangu-Muturi-749

  Welcome to my github page

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• 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.

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• Isaac-Ndirangu-Muturi-749/odin-recipes

  a learning project from The Odin Project showing 3 of my favorite recipes

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• Isaac-Ndirangu-Muturi-749/Predictive-Marketing-Campaign-Analysis-Analysis-for-Bank-Term-Deposit-Subscription-Using-Decision-Tr

  This project focuses on analyzing a bank's marketing campaign dataset to gain insights and make data-driven recommendations for improving the effectiveness of the campaign. The dataset contains information about clients and their interactions with the bank's marketing campaigns.

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• Isaac-Ndirangu-Muturi-749/printf

  Custom implementation of the printf function in C, providing formatted output and variable argument handling

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• Isaac-Ndirangu-Muturi-749/Regression-Analysis-for-King-County-House-prices

  This project is focused on predicting the prices of houses in a particular area based on various features such as the number of bedrooms, bathrooms, square footage, age, and location. The project utilizes a dataset that contains historical data on houses sold in the area to build a regression model to predict the prices of new houses.

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• Isaac-Ndirangu-Muturi-749/Sentiment-Analysis-and-Trend-Visualization-in-Social-Media-Data-from-Twitter-using-NLP-and-Machine-L

  In this project, we aimed to analyze and visualize sentiment patterns in social media data to gain insights into public opinions and attitudes towards specific topics or brands. We followed a structured approach, including data collection, preprocessing, exploratory analysis, sentiment analysis, and model building. Our ultimate goal was to understa

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• 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.

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• 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.

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• Isaac-Ndirangu-Muturi-749/World-Bank-Socioeconomic-Indicators-Analysis-Project

  The data project aims to explore various socioeconomic indicators across different countries. The dataset includes information on a wide range of indicators, such as "Access to electricity (% of population)," "GDP growth (annual %)," "Unemployment, total (% of total labor force) (modeled ILO estimate)," and more. The data is sourced from reputable

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