Pinned Repositories
customer_segmentation_KMeans
UT-MBA-KNIME
Amazing-Feature-Engineering
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.
Customer-Segmentation-Dynamic-Pricing
In this repo I will put the Python code of KNIME project for customer segmentation and dynamic pricing for a small retail shop.
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
search
bert
TensorFlow code and pre-trained models for BERT
creative-theme-jekyll
digikala_history
Extract and analyze the history of your purchases on Digikala
ehsan-maminejad
Config files for my GitHub profile.
ehsanmaminejad's Repositories
ehsanmaminejad/ehsanmaminejad.github.io
ehsanmaminejad/creative-theme-jekyll
ehsanmaminejad/v2ray-worker
Total solution for V2Ray over Cloudflare's worker
ehsanmaminejad/customer_segmentation_KMeans
ehsanmaminejad/search
ehsanmaminejad/ehsan-maminejad
Config files for my GitHub profile.
ehsanmaminejad/parsbert
🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
ehsanmaminejad/bert
TensorFlow code and pre-trained models for BERT
ehsanmaminejad/digikala_history
Extract and analyze the history of your purchases on Digikala
ehsanmaminejad/UT-MBA-KNIME
ehsanmaminejad/Customer-Segmentation-Dynamic-Pricing
In this repo I will put the Python code of KNIME project for customer segmentation and dynamic pricing for a small retail shop.
ehsanmaminejad/KNIME-Analytics-Platform-For-DataScientists
Hands on of KNIME Analytics course with Python
ehsanmaminejad/thinkbook
ThinkPython Persian book
ehsanmaminejad/handson-ml2
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.
ehsanmaminejad/Forecasting-Principles-and-Practice-fpp3-Excersises-Solutions
I will put R codes, for solutions of fpp3 book excersises of Rob J Hyndman.
ehsanmaminejad/hello-world
just another repository
ehsanmaminejad/Amazing-Feature-Engineering
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.
ehsanmaminejad/python-workout
Files for the Python Workout book
ehsanmaminejad/spylunking
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
ehsanmaminejad/mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
ehsanmaminejad/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.