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Aimtoget-Staff
Repository of Aimtoget. Contains database of Old and Present StaffReact-Js-Tutorial
This is a tutorial and project from a 10hour course on YouTube (FreeCodeCamp.org)FaceDetect
Uses React, Image recognition API, Server(Node and Express), React tiltblessadeik.github.io
Gradient-Background
This is a webpage that allows you change the background with just a clickBeable
Its just all about Beable. Websites/Mobile Apps/Web AppsShopping-List
Shopping List.....Features: Add items, Remove items, Strikeout Items.....Updates to be made: Item, Quantity, and Price Column; Calculation of Price; Send a copy to mailmy-code-outlaws-project
This is a project done at the end of a 3-month Software Development training at Code Outlaws (online). Instructor: Benjamin Ayangbola @firstcodeoutlawZero-to-mastery-exercises
This is a log of all exercises completed at Zero To Mastery AcademyPortfolio-SheCodeAfrica
Frontend first level Task on She Code AfricaCode-Outlaw-Project
This is a repository for the projects done in CodeOutlaw.beable-devs
This is an update on the initial project given by @firstcodeoutlaw. A portfolio page with image sliders.Issys-Medcare
For this project, I was just playing around with tailwind using a template from youtube.House_Price_Prediction
This project used Python to predict house prices based on various features. I used sklearn library to perform regression on the training dataset and predicted the prices of the test set. I compared the predicted and actual values and generated a graph for the first 10 test samples.Employee_Salary_Analysis
Beable-Coffe-Shop
This is a Responsive website built with HTML, CSS, Grid, Flexbox, and moreText_based_Similarity_Matching_on_Medical_Dataset_using_Cosine_Similarity_measures
I implemented a text-based similarity matching system on a medical dataset using Python, read the data files in Pandas df and pre-processed the text. I created a TD Matrix with TF-IDF weighting and used CosSim to find the similarity between a query and documents. I searched the 10 top-ranked image ids for a query and showed the images in notebook.Sentiment_Analysis_Using_Different_Classifiers
This aimed to analyze the sentiment of a text dataset using different classifiers in Python. I used TF-IDF to represent the text and performed K-NN classification also trained the dataset with Random Forest, Logistic Regression, and Deep Neural Network using Keras. I evaluated performance of different classifiers on the test setEmotion_Dataset_Analysis
: This project involved classifying sentences by their emotions using text analysis techniques in Python. I pre-processed the text, generated vocabulary, and represented the text in different ways. I also built and compared three models: Logistic Regression, Neural Network, and K-means Clustering.Love Open Source and this site? Check out how you can help us