zenUnicorn/DevFind

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zenUnicorn/DevFind

zenUnicorn

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DevFind is a project currently in the build stage that focuses on matching employers with developers. In the ordinary sense we can call it a freelance website. But we are building it on the Bitcherry blockchain. The main aim of the project is for transparency as we all know the blockchain is a public ledger and transparent so transactions between the employer and the developer to be hired is stored on the blockchain and the transactions is transparent in case there wants to be a issue of trust and change in agreement.

App-rating-scraper-with-python

App-rating-scraper-with python (Slack App)

Jupyter Notebook

Fake-News-Detection

Fake News Detection with Python (Machine-learning)

Jupyter Notebook

Brython-python

BRYTHON WITH PYTHON

php_backend

back end authentication with php and mysql

Named-Entity-Recognition

Named Entity Recognition (NER) in Natural Language Processing using spaCy and NLTK

Jupyter Notebook

zenUnicorn

Config files for my GitHub profile.

Python-Google-Search-Analysis

Python-based Google Search Analysis

Meetmeapp---with-100ms

Live app here: https://meetme.app.100ms.live/preview/vzd-nkw-cjb

Predict-Stock-Prices-with-Machine-Learning.

Predict Stock Prices with Machine Learning.

Jupyter Notebook

Ethereum-for-Python

Building on the blockchain using python web3.py

Social-media-ads-classifier

Machine Learning for Classifying Social Media Ads

HiremeApp

Decentralised freelance app on the aeternity blockchain

Keyword-extraction-with-python

Keyword Extraction using Python (RAKE, YAKE, PKE, KeyBERT, MultiRake, and TextRank)

Jupyter Notebook

Python-Articles

As a technical writer and a python developer, I want to share articles I write with fellow developers .

OOP-BookStore

OOP Application of my GUI App

Face-Landmarks-Recognition

Face landmark recognition using PyTorch is used in computer vision and image processing to locate specific facial features, such as the eyes, nose, mouth, and jawline. This technique can be used for a variety of applications, including facial recognition, emotion detection, and head pose estimation.

Jupyter Notebook

Data-Exploration-Summarization

A Pandas (Python library) Notebook containing basic and advanced methods and functions for data exploration and summarization, cleaning of data and plotting of data. The areas covered are: concatenating of data, merging of data, plotting of data, datasets, handling of NaN values.

Jupyter Notebook

ShittuOlumide

Shittu Olumide's Porfolio site deployed using GH Pages

unicornproductions

This is the official website Unicorn Productions, it is a tech company, that specializes in web development, machine learning and data science, virtual and argumented reality, Graphic design, product design, digital marketing, social media marketing, affiliate marketing, project management, content writing and lots more

machine-language-detection

Using machine learning for language detection

Jupyter Notebook

nameGenerator

https://zenunicorn.github.io/nameGenerator/.

Log-PyCaret-models-and-results-with-Comet

Logging PyCaret models and results with Comet.

Python-Gui-Application-Bookstore-

A desktop application built with python tkinter library and back-end database sqlite3

Jupyter Notebook

SimplexMethod

Linear Programming using Simplex Method using python, jupyter notebook, numpy

Jupyter Notebook

Human-action-recognition

Human action recognition using Machine leaning and deploying to Comet

Jupyter Notebook

ML_on_CLAMP

Supervised and Unsupervised Machine Learning on CLAMP Dataset

Jupyter Notebook

Python-Topic-Modeling-using-Latent-Dirichlet-Allocation-LDA-

Python Topic Modeling using Latent Dirichlet Allocation (LDA)

TimeSeries-with-Pycaret

TimeSeries with Pycaret using Regression Module

Jupyter Notebook

webcrawler

A webcrawler which crawls a web page for titles, keywords, description and urls.

Accountpy

An OOPPython script to manage your account

Micro-frontend-Broilerplate

You will find all the files and codes to building your first micro-frontend with REACt.js here

linkedin-job-scraper

Scrape LinkedIn job easily with python

Active-Learning-with-Comet-for-Cell-Imaging

Active Learning with Comet for Cell Imaging

AutomaticTimeSeries-Forecasting

AutomaticTimeSeries Forecasting Auto TS

Jupyter Notebook

PythonMap

A responsive map built with python and Folium library to indicating markers and pointers to show locations of volcanoes in the USA and using data both in csv and Json format, Layers

Ecommerce-php

Fukky functioning Ecommerce website with php back-end, phpMyAdmin as DB, Admin Area and landing page

Article-recommendation-system-using-Python

An article recommendation system built using Python

Jupyter Notebook

Python-Animation

Creating python animations using matplolib and other libraries

Jupyter Notebook

WordPress-Plugins

A repo for custom wordpress plugin development

ReadArticle

A python script that takes in an article link, converts it into an mp3 format, then reads it out with the use of NLP and gTTS.

CNN-based-Image-Classfier-using-Keras

Building CNN based Image Classfier using Keras and deploying it to Comet.

Jupyter Notebook

e-commerce-website

An e-commerce website built with pure javascript, with basic DOM scripting,Eventlisteners, Saving and retrieving from local storage of the browser

100ms-tutorial

Building a zoom clone with 100ms using vanilla. Javascript.

Javascript-Api-Calls

There are a variety of ways to make an API request with JavaScript, ranging from plain JavaScript to jQuery to additional tools that greatly simplify the process. In this article, we'll utilize a standard JavaScript technique. We'll change our code in following courses to make our API request in a variety of ways. We'll also learn about several tools for working with asynchronous programming in the process. APIs, after all, are asynchronous. While we'll just be using async tools to make API calls in this part, the async tools we'll learn may be used to other asynchronous JavaScript tasks as well.

ARIMA-SARIMA

An autoregressive integrated moving average, or ARIMA, is a statistical analysis model that uses time series data to either better understand the data set or to predict future trends. A statistical model is autoregressive if it predicts future values based on past values.

Jupyter Notebook

ML-repo-Shittu-Olumide

This repository contains My Machine learning and datascience projects and codes [ Linear Regression, KNN, Euclidean distance, Support Vector Machine and so on... ]

Meetmeapp

Live app here: https://meetme.app.100ms.live/preview/vzd-nkw-cjb