natural-language-processing-techniques-for-depression-diagnosis

Trained on thousands of reddit posts, the aim of this project is to build a natural language processing classifier which takes a person's text data as input and determines if the person is suffering from the ailment of depression or not.

neurips-2024---predict-new-medicines-with-belka

develop machine learning (ML) models to predict the binding affinity of small molecules to specific protein targets

node-js-fun-project

just chilling

node-red

node-red-open-source-contribution

Low-code programming for event-driven applications

node-rizz-machine-learning-

node-rz-nlp

node-rz-nlp-and-ml-part

note-making-app-using-react-my-back

online-ticketing-tool

In large companies/organizations the workforce is humongous. Chances of hardware, software, login access etc. issues is very logical. To ensure the fixing of such issues in a systematic order this ticketing tool comes into play

open-ai-clone

paraphrasing-tool

petgraph

Graph data structure library for Rust.

predict-your-lifespan-from-general-everyday-factors-via-machine-learning

This software that has 2 applications. First is to estimate your life expectancy and second is to create an interactive health report. Used matplotlib, searborn, tensorflow, keras, numpy, pandas. There are 2 different versions (each version in a unique branch in repo). Initial version is in Tkinter and improved version is in Django

programming-techniques

These are programming techniques which I have extracted after solving various programming problems. Having a good grasp on these will take a person's logic and problem solving in programming to a whole new level

project-dump

research-work-on-detecting-type-1-and-type-2-diabetes-via-shanghai-dataset

project focuses on leveraging the valuable data provided by the Shanghai Dataset to develop robust and accurate methods for diagnosing both Type 1 and Type 2 Diabetes. Through cutting-edge machine learning techniques, data analysis, and medical domain expertise, we aim to contribute to the advancement of diabetes detection and treatment

rust-programs

Programs made in the process of my rust learning

rust-stuffs

saturnaria

scikit-learn

scikit-learn: machine learning in Python

search-bar

self-created-functions-for-data-cleaning-

Might help ya!

shrever.github.io

social-service

If you like my contribution, kindly purchase this boioee a coffee :)

sol-transfer-using-rust

yup you heard it right!

specially-customized-prompts-for-generative-ai-s

Here are various prompts which I regularly use on a high frequency on ChatGPT and bard to speed up my productivity and overall results. Feel free to make good use of them :)

speech-processing-

sri-lanka-vehicle-price-estimate-via-data-analytics-and-machine-learning

The data is scraped from Sri Lanka's most famous online vehicle buying selling platform: Ikman.lk. The Credit for all the information goes to Ikman. I did exploratory data analysis , feature engineering , efficient feature selection and model building

stock-price-prediction-on-yahoo-finance-stocks

Predict stock prices using LSTM neural networks. Utilizes NumPy, Pandas, TensorFlow, Keras for data handling. Fetch data from Yahoo Finance with yahoofinancials and yfinance. Streamlit for UI, Matplotlib for visualizations. Input ticker, configure model, analyze predictions.