Name: Ebereonwu Einstein Munachiso
Type: User
Company: Royal Holloway University of London
Bio: Google certified DataAnalyst constantly striving to hone my skills in the art of traditional MachineLearning and DeepLearning for NLP, CV and other tasks.
Twitter: einsteinmuna
Location: London, United Kingdom
Ebereonwu Einstein Munachiso's Projects
Abraham Ogudu Portfolio
Transform road scenes with "Cambridge-Driving Dataset Image Segmentation" project, utilizing DeepLabV3 and ResNet50 for precise image segmentation. This project although basic harnesses advanced computer vision techniques to classify and segment diverse road elements, enhancing autonomous driving research
Sentiment analysis on Call of Duty Mobile Google Play Store user reviews with ML model to classify new reviews.
Contact book management system web app with HTML& CSS, Python(Flask) and tinydb.
Dlib compiled binary (.whl) for python 3.7, 3.8, 3.9 for windows x64
A fake/real news detection system using Sklearn, Django, JavaScript, HTML & CSS
Flight price prediction with MachineLearning models; LinearRegression and XGBoost Regressor
Simple binary (Male, Female) gender classification task
Email correction API which aims to reduce email bounce rate. This system provides Restful FastAPI which receives an email address as input, analyzes the email address, make corrections where necessary and returns the correct email to the user.
Config files for my GitHub profile.
Flask app that calculates the number of operators and operands in a given piece of code
This repo contains all files used in the article "Saving Your Machine Learning Model In Python: pickle.dump()"
Web crawler capable of scraping the reviews and ratings data of any app on Google Play Store then saves in CSV file format for further data analysis.
A skin cancer prediction convolutional deep-learning model.
Extractive, Abstractive text/document summarizing system with Flask, capable of suggesting topics, detecting language, summary download and text-to-speech.
Simple fun NLP project to determine the tribe (Igbo, Yoruba or Hause) of your Nigerian friends based on their names.
Predicting of used car prices.
This repo contains python files were used to illustrate wed scraping in python with