Echius's Projects
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
TensorFlow code and pre-trained models for BERT
In this repo I will put the Python code of KNIME project for customer segmentation and dynamic pricing for a small retail shop.
Extract and analyze the history of your purchases on Digikala
Config files for my GitHub profile.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
I will put R codes, for solutions of fpp3 book excersises of Rob J Hyndman.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
just another repository
Hands on of KNIME Analytics course with Python
Study guides for MIT's 15.003 Data Science Tools
š¤ ParsBERT: Transformer-based Model for Persian Language Understanding
Files for the Python Workout book
Drill down into your python logs using JSON logs stored in Splunk - supports sending over TCP or the Splunk HEC REST API handlers (using threads or multiprocessing) - includes a pre-configured Splunk sandbox in a docker container
ThinkPython Persian book