chemicoPy/Ploties

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Created over 4 years ago
Updated over 3 years ago

chemicoPy/Ploties

chemicoPy

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MACD-RSI-STOCHASTIC-strategy

Trading strategy using indicators - MACD, RSI (Relative Strength Index) & Stochastic oscillator ; taking advantage of a real-time data grabbing from a trusted free leading enterprise sources for mission-critical financial applications through their API

Jupyter Notebook

ML-Forex-Market-Prediction

ML/Deep learning approach in predicting the direction of the next candle close for the next 1-minute, 5-minute candle and 15-minute – via Binance API real-time & historical data. The main idea of this project is using Machine Learning, Deep Learning intelligence for Time Series Forecast – which is on Stock Prediction

Jupyter Notebook

SP500-data

Data scraping approach - storing S&P 500 data (both historical and real-time) for intervals 1-minute, 5-minute, 30-minute and Daily; and update it periodically. Data is via Alpha Vantage API. The hopeful vision of this project is for the data fetched to be used for any related form(s) of Data Analysis

Jupyter Notebook

ID-card-Authenticity

In a bid to solve the problem space of the challenges students of institutions face while seeking for solace in off-campus housing for their accommodation need, a web-service app LesserStress is being developed (in completion phase), I’m delegated with the role to develop a working ML – AI model that checks if the identity of the user is valid or not. If it is, access would be granted to use the service of the app. The allowed ID cards are Nigeria National Identity card or Voter’s card This repository has the code, datasets among others….

ML-Forex-Market-Forecast

ML/Deep learning approach in predicting the price & position of the next candle close for intervals: 1-min, 5-min, 15-min, 30-min, 1h, 2h, 4h, 5h, 1d, 1wk, monthly – via FCSAPI real-time & historical data. The main idea of this project is using Machine Learning, Deep Learning intelligence for Time Series Forecast – which is on Forex Market

Image_Augmentation

Deep learning approach in generating several images from some sample(s). The script artificially creates training images through different ways of processing or combination of multiple processing - random rotation, shifts, shear and flips...

Jupyter Notebook

Microsoft-Cloud

Netflix_Data_Viz

Jupyter Notebook

chemicopy

COVID-19-Self-Assessment

crypto-conv-dashboard

An app that converts crypto coin price to a local currency price; also with a visualization board to monitor price

GPT-J-ML

spotify-ml

Jupyter Notebook

A-company-attrition-case

pic-telebot

weather-app-dashboard

A dashboard app that helps monitor current & future weather trends, situations across specified country/city

covid-icu-system

ICU COVID simulation model. Patients with COVID arrive according to a Poisson process

Jupyter Notebook

NFT-art

Jupyter Notebook

statistical-test

Repo to give statistics of a dataset...

job-recommender-system

Jupyter Notebook

real-estate-prediction

User-Login-System-GUI-

inventory-system

GUI based inventory, management & reservation system; automates asset tracking, manages spend & achieve end-user satisfaction; written using python

wordshop

wordshop is powered by OpenAI’s GPT-3. You can generate content with few words you input in either voice/speech or text!

test-run-excerpt-of-NLP-tasks

I’ve written here an excerpt of model file of training a bot, implemented on a COVID-19 dataset. Attached in the document, are views of how well the model classifies input from user in relation to ones curtained in the dataset.

Speech-Text-Analytic-app

An AI web application that uses Google API to transcribe text to speech in 6 different languages and speech to text to extract meaningful features from audio speech like speech sentiment, NER and visualizing audio signals.

Jupyter Notebook

COVID-19_Data_visualization

Interactive Data Driven Visualization for COVID-19 (real-time); showcasing the data in an intuitive and easy to understand manner. As the world is battling with the COVID-19 pandemic, here's a developed interactive data-driven dashboard to not only view the current trends, but to also display important analytics and projections...

Jupyter Notebook

Flight_Prediction

This study has been devoted to predict delay based on machine learning approach and through considering delay time duration of the flights that had been engaged. The result has shown that it is possible to predict the probability of delay in higher levels through specifying low level factors A model was trained using both smaller and much bigger flight data to adapt to whichever it's been used on and the respective data & model files were saved in this repositories...

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superfast_forex_data_fetch-

Jupyter Notebook

lens_it

OCR – Optical Character Recognition does the work of visual analysis – simply identifies text characters in digital images (examines & translates the characters into code that can be used for data processing). Here I have a model that does all of that and saves texts from image as readable document. Trying out something very similar to google lens – goggle lens isn’t a bad idea, is it? PS: "summary chapter 5.png" is a test image