Abdulraqib20
👩‍💻 Data Scientist • Passionate about solving business problems • Turning data into actionable insights✨
VendeaseAbuja
Pinned Repositories
99-ML-Learning-Projects
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Algorithm-HSDC-23-Project
Here is the proposed solution to the "Prediction of customer personality analysis" problem
Audio-Transcription-App
A simple Audio Transcription Web-App
Banking-Sentiment-Analysis-in-Nigeria
The aim of this project is to perform sentiment analysis on Twitter data related to customer satisfaction with Nigerian banks, in order to gain insights into customer opinions and experiences and identify areas for improvement in the banking industry.
Book-Recommender-System
This Application is a book recommender system uses a content-based approach, leveraging book features to recommend similar books to users based on features of the books or characteristics of the items and the user's preferences.
Computer-Engineering-Students-Sentiments-Analyzer-App
This web app is a sentiment analysis tool developed by raqibcodes. It has the capability of detecting whether user-entered text has an underlying Positive, Neutral or Negative sentiment. The text classification model was trained on Feedback survey data collected from 300 level Undergraduate Computer Engineering Students at the University of Ilorin
Customer-Personality-Analysis
Decoding Customer Insights: Unsupervised Learning for Dynamic Segmentation. This analysis enables businesses to tailor their products and services to different customer segments, rather than using a generic approach. By using techniques like unsupervised learning, companies can uncover valuable insights about customer needs, behaviors, and concerns
Employee-Attrition-Prediction-Using-Gradient-Boosting-Algorithms
Sentiment-Analysis-with-Student-Feedback
Sentiment analysis of student feedback in engineering education. The goal is to analyze and gain insights from student feedback data to understand their sentiments and identify areas for improvement. The sentiment analysis is performed using natural language processing techniques and machine learning algorithms to classify feedback data.
WhatsApp-Chats-Analyzer-App
This Application is a simple and easy-to-use WhatsApp Chats Analysis tool. The application offers you a delightful and straightforward way to analyze your WhatsApp conversations.
Abdulraqib20's Repositories
Abdulraqib20/Sentiment-Analysis-with-Student-Feedback
Sentiment analysis of student feedback in engineering education. The goal is to analyze and gain insights from student feedback data to understand their sentiments and identify areas for improvement. The sentiment analysis is performed using natural language processing techniques and machine learning algorithms to classify feedback data.
Abdulraqib20/Customer-Personality-Analysis
Decoding Customer Insights: Unsupervised Learning for Dynamic Segmentation. This analysis enables businesses to tailor their products and services to different customer segments, rather than using a generic approach. By using techniques like unsupervised learning, companies can uncover valuable insights about customer needs, behaviors, and concerns
Abdulraqib20/WhatsApp-Chats-Analyzer-App
This Application is a simple and easy-to-use WhatsApp Chats Analysis tool. The application offers you a delightful and straightforward way to analyze your WhatsApp conversations.
Abdulraqib20/99-ML-Learning-Projects
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Abdulraqib20/Algorithm-HSDC-23-Project
Here is the proposed solution to the "Prediction of customer personality analysis" problem
Abdulraqib20/Book-Recommender-System
This Application is a book recommender system uses a content-based approach, leveraging book features to recommend similar books to users based on features of the books or characteristics of the items and the user's preferences.
Abdulraqib20/BUILDING-A-DASHBOARD-USING-MATPLOTLIB
I will be analyzing one of the longest running conflicts in the world here, the war between Israel and Palestine and then finish up by building a detailed Dashboard using Matplotlib.
Abdulraqib20/Whatsapp-Chat-analysis
This project involves analyzing WhatsApp chat data by exporting chats to a text file and then using Python to wrangle and analyze the data. The analysis includes exploring the chat data, cleaning and preparing the data, and performing visualizations to gain insights into the data. The project provides a better understanding of the patterns.
Abdulraqib20/Abdulraqib20
Config files for my GitHub profile.
Abdulraqib20/Animated-GIF-Maker-streamlit-
This project involves creating an animated GIF maker using Streamlit. The web application allows users to upload a set of images and convert them into an animated GIF with custom animation settings. The purpose of the project is to provide an easy-to-use tool for creating animated GIFs for personal or professional use.
Abdulraqib20/Audio-Transcription-App
A simple Audio Transcription Web-App
Abdulraqib20/Banking-Sentiment-Analysis-in-Nigeria
The aim of this project is to perform sentiment analysis on Twitter data related to customer satisfaction with Nigerian banks, in order to gain insights into customer opinions and experiences and identify areas for improvement in the banking industry.
Abdulraqib20/Computer-Engineering-Students-Sentiments-Analyzer-App
This web app is a sentiment analysis tool developed by raqibcodes. It has the capability of detecting whether user-entered text has an underlying Positive, Neutral or Negative sentiment. The text classification model was trained on Feedback survey data collected from 300 level Undergraduate Computer Engineering Students at the University of Ilorin
Abdulraqib20/Employee-Attrition-Prediction-Using-Gradient-Boosting-Algorithms
Abdulraqib20/first-web-scraping
This project involves scraping data from the La Liga football league website using Python's Beautiful Soup library. The scraped data includes player statistics, team rankings, and other key metrics related to the league. The purpose of the project is to gather data for further analysis and gain insights into player and team performance.
Abdulraqib20/genAI-apps
Repository containing my Generative AI and RAG projects
Abdulraqib20/IBM-Python-Project-for-Data-Science
The assignment and my solution to the IBM Data Science Specialization's course 5 - Python project for data science
Abdulraqib20/Microsoft-Office-2021
Download and Activate Microsoft Office 2021 (Latest) for free. (Legal)
Abdulraqib20/telecom-churn-prediction
This project uses machine learning to predict customer churn in a telecom industry. By analyzing customer demographics, usage patterns, and churn status, I built a model that accurately predicts which customers are at risk of churning
Abdulraqib20/TMDb-Movie-Analysis
This project involves analyzing the TMDB dataset, which contains information on movies and TV shows. The analysis includes exploring the dataset, cleaning and preparing the data, and performing visualizations to gain insights into the data. The project provides a better understanding of the trends and patterns in the movie and TV industry.
Abdulraqib20/WeRateDogs-Twitter-Analysis-
This project involved wrangling and analyzing multiple datasets, which were consolidated into one cohesive dataset. The project also included collecting data from the Twitter API. The resulting dataset was used for further analysis and insights. Check out the code and documentation for more details!
Abdulraqib20/Cryptocurrency-Sentiment-Analysis
This repository has been created as part of the kaggleXBIPOC Mentorship Program. The aim of this project is to establish the sentiment association between the various cryptocurrencies like Bitcoin, Ether using real time twitter data and RoBERTa Model for classification .
Abdulraqib20/first-heroku-flask
My First App created using Flask and deployed on Heroku
Abdulraqib20/Google-Play-Store-Apps-and-Reviews
Abdulraqib20/heroku-flask-sentiments
Abdulraqib20/mp3-player
Abdulraqib20/OpenInterpreterUI
Simplify code execution with Open Interpreter UI Project with Streamlit. A user-friendly GUI for Python, JavaScript, and more. Pay-as-you-go, no subscriptions. Ideal for beginners.
Abdulraqib20/raqib
Abdulraqib20/Vendease-RAG-Application
Abdulraqib20/Waste-Classifcation
An ML image classification model that distinguishes between recyclable and organic garbage.