Learning to create Machine Learning Algorithms
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Updated
Jun 15, 2021 - Python
Learning to create Machine Learning Algorithms
Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).
Machine Learning project to predict popularity of Instagram posts
The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process…
Feature engineering on LivePeople dataset
A graphical batch data processing tool for protein crystallography
Collection of scripts to gather training (meta) data for the ML model
For preprocessing empatica e4 data for analysis
News Scraper App using Python and Beautiful Soup
A personal toolset built over time by Ricco
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Process any type of data in your projects easily, control the flow of your data.
Python web application that automates data ETL of the latest covid19 data on Japan as well as data visualisation with tableau
Python-based multi-agent data analysis pipeline that uses OpenAI's LLM to coordinate intelligent agents for analyzing data, generating visualizations, and producing a comprehensive written analysis report.
ML pipeline for system metrics anomaly detection using an autoencoder, deployed with Flask and monitored via Prometheus and Grafana.
Implementations on computer vision, audio and speech processing, multi-media files and streaming, multi-modal signal processing, video retrieval, semantics, and text generation.
Search the web with SearxNG and summarize using DeepSeek-R1.
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