Enyaude

California_House_Price_Prediction

Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.

California_House_Price_Prediction_Project

Data_Science_Python_Module_Model

This repository contains the code and modules created for a data analysis project aimed at analyzing agricultural data from Maji Ndogo farm. The project involves various tasks like creating python scripts or module such as data ingestion, data cleaning, hypothesis testing, visualization, and statistical analysis module and automating the farm data

Ecom_Churn_with_Python

Customer churn is the phenomenon in which a client stops doing business with an entity. Users can stop using a company’s product or service for a variety of reasons, such as affordability, dissatisfaction with the offering, and bad customer service.

Email-Spam-Detection

Email-Spam-Detection-App

This project demonstrates a practical approach to spam detection using machine learning and its deployment as a web application

Enyaude

Config files for my GitHub profile.

Healthcare-Data-Warehouse-Implementation

Integrated-Project-Maji-Ndogo-Part-1

Explore Maji Ndogo's water quality analysis project, where a detailed 60,000-record database is used to identify pollution hotspots and guide intervention strategies. Leveraging Python, MySQL, and Jupyter Notebook, this project uncovers patterns and addresses environmental issues, driven by the call for data-driven solutions by President Naledi.

Sentiment_Analysis_of_Movie_Reviews_App

This GitHub repository explores sentiment analysis using movie reviews from Rotten Tomatoes. The project aims to identify words that appear more frequently in positive ("fresh") and negative ("rotten") reviews.

Enyaude/California_House_Price_Prediction

Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.

Enyaude/California_House_Price_Prediction_Project

Enyaude/Data_Science_Python_Module_Model

This repository contains the code and modules created for a data analysis project aimed at analyzing agricultural data from Maji Ndogo farm. The project involves various tasks like creating python scripts or module such as data ingestion, data cleaning, hypothesis testing, visualization, and statistical analysis module and automating the farm data

Enyaude/Ecom_Churn_with_Python

Customer churn is the phenomenon in which a client stops doing business with an entity. Users can stop using a company’s product or service for a variety of reasons, such as affordability, dissatisfaction with the offering, and bad customer service.

Enyaude/Email-Spam-Detection

Enyaude/Email-Spam-Detection-App

This project demonstrates a practical approach to spam detection using machine learning and its deployment as a web application

Enyaude/Enyaude

Config files for my GitHub profile.

Enyaude/Healthcare-Data-Warehouse-Implementation

Enyaude/Integrated-Project-Maji-Ndogo-Part-1

Explore Maji Ndogo's water quality analysis project, where a detailed 60,000-record database is used to identify pollution hotspots and guide intervention strategies. Leveraging Python, MySQL, and Jupyter Notebook, this project uncovers patterns and addresses environmental issues, driven by the call for data-driven solutions by President Naledi.

Enyaude/Sentiment_Analysis_of_Movie_Reviews_App

This GitHub repository explores sentiment analysis using movie reviews from Rotten Tomatoes. The project aims to identify words that appear more frequently in positive ("fresh") and negative ("rotten") reviews.

Enyaude/Integrated-Project-Maji-Ndogo-Part-2

Explore Maji Ndogo's water quality analysis project, where a detailed 60,000-record database is used to identify pollution hotspots and guide intervention strategies. Leveraging Python, MySQL, and Jupyter Notebook, this project uncovers patterns and addresses environmental issues, driven by the call for data-driven solutions by President Naledi.

Enyaude/Integrated-Project-Maji-Ndogo-Part-3

Integrated-Project-Maji-Ndogo-Part-3 This phase involves consolidating data from multiple sources and employing statistical methods to assess the implications of a random audit. The audit results confirm data accuracy and integrity. Addressing database errors is crucial to maintaining data reliability.

Enyaude/Integrated-Project-Maji-Ndogo-Part-4

Integrated-Project-Maji-Ndogo-Part-4 Translating data into actionable insights! Condensing complex queries for strategic decisions, and optimizing efficiency.

Enyaude/mypackage

Enyaude/pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

Enyaude/pyrepotest

Enyaude/Python-essentials

project-2023

Enyaude/Python_alx

Enyaude/sentiment_analysis

Enyaude/smart-health

Smart health prediction using data mining