computational intelligence, university of gdańsk 2019-2020

Self learning projects in Python and R for data cleansing.

Notebooks and scripts with data cleansing methods.

Data preparation for machine learning involves a. Removing data with blanks b. Picking up only those rows where there X value column has valid values

In this challenge my goals are create API for cleansing data and make data analysis report from it. I use dataset from Kaggle: Indonesian Abusive and Hate Speech Twitter Text. It is Multi-Labeled Hate Speech and Abusive Indonesian Twitter Text by Muhammad Okky Ibrohim and Indra Budi (2019).

API ini secara umum berfungsi untuk melakukan cleansing data teks (remove emoji, lowercase, three or more, stemming, tokenization, normalization, remove number, remove punctuation, stopwords) dengan 3 pilihan input output data:

Tugas Gold Challenge

Movie recommender system based on content using Tfid-idf vectorizer and cosine similarity to calculate the scores and render.com free trail to deploy the results

With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.

Cleaning and Analysing the raw data containing customers details of a grocery store based on their age, gender and products they purchase.

API Flask for Cleansing Input Text and Tweet File

A tiny and temporary db for quick data cleansing and transformation. It is a high-level python coding and would help any Pythonistas up to speed with ETL work.

Diabetes prediction utilizing established characteristics. The objective of this exercise is to showcase the efficacy of Machine learning. The dataset comprises various health-related attributes gathered to facilitate the creation of predictive models for detecting potential diabetes risks.

The power you need to cleanse, filter, sort, reshape, manage and analyze data from CSV files.

A notebook aimed at predicting and improving water safety by analyzing contaminants and pollution levels in water sources, enhancing public health and ensuring access to clean drinking water.

Airbnb Paris - analytics and accommodation price prediction

👾 package to cleanse complex networks data, extracted from the ml-graph-network-analyser

CVA highlights shifts in the process mean, making it particularly effective for detecting small changes.