Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Case studies using mlr3

LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings

A quick reference guide for creating prediction models using R caret.

Hertürlü veri setinde text alanın temizlenmesi için yazılmış açık kaynak bir metin temizleme aracıdır

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

prototype AFNI bids app implmenting participant level preprocessing with afni_proc.py

This repository is for Fake News Detection using Deep Learning models

Udacity Natural Language Processing Nanodegree.

This is a prediction project using a variety of regression models: linear regression, random forest regression, ridge, regression, SVR regression, light gbm regression.

This is a GitHub repository with a project on loan portfolio analysis and communication for a financial institution using Python, Pandas, and Matplotlib. It provides insights into loan distribution and customer demographics, as well as communication effectiveness.

DEMS analysis part (ETL, Modeling, Predict)

MBIT Big Data 2019-2020 Data Preprocessing with Python (DC-03 TP-01)

Analyzing the effects of experience on defensive performance against the option offense

Accessible, efficient data preprocessing library for pretrain and SFT datasets, including KL3M

Practicas usando HTML5, CSS3, Responsive-design, Framework css, Preprocesadores (Prepro, scss, sass, etc).

Information Retrieval Course - Assignment - Naïve Bayes Classifier

Wrangling WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations. The Twitter archive is great, but it only contains very basic tweet information.I made additional gathering, then assessing and cleaning to get a "Wow!"-worthy analyses and visualizations.