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adp-practice

Python code for ADP test

airflow_practice

marclamberti/airflow-materials practice

autoviz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

behavioraldataanalysis

Support files for the O'Reilly book "Behavioral Data Analysis with R and Python" by Florent Buisson

benchmark-interest-rate-prediction

To predict American(Fed) benchmark interest rate predict

berkshire-shareholder-letter-sentiment-analysis

By using app review dataset, Fine tuning Bert (BERT: Pre-training of Deep Bidirectional Transformers) and applied it to Berkshire Hathaway's letters for share-holder and performed sentiment analysis.

causal-inference-in-python-code

"실무로 통하는 인과추론 with 파이썬" (한빛미디어, 2024) 소스코드 저장소입니다.

causal-inference-with-python

Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.

causalml

Uplift modeling and causal inference with machine learning algorithms

charter-dashboard-for-newbies

chatdb

Chat with your Database, no more writing SQL queries

coding-test-practice

1 Day 1 Practice

crawling_practice

crawling_practice

customer_churn_analysis

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.

dataanalyst_study

to be a better data analyst

e-commerce-data-anaysis

es-gpt

financedatareader

Financial data reader

hs-restaurant-syh

현마카세의 다양한 스킬들을 연습해보기

kaggle-practice

lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

mlflow

Open source platform for the machine learning lifecycle

practical-statistics-for-data-scientists

Code repository for O'Reilly book

practice

Free Practice

productive-box

Are you an early 🐤 or a night 🦉? Let's check out in gist

publicdatareader

공공 데이터 조회를 위한 오픈소스 파이썬 라이브러리

pycaret

An open-source, low-code machine learning library in Python

pycaret_practice

PyCaret_Practice

pykakao

카카오 API를 사용하기 위한 오픈소스 파이썬 라이브러리