pandas

Attempted to create a model that could determine the genre of a song based off of features from Spotify's data.

This jupyter notebook goes through how to use python in you data analysis. Mainly analysis of experiments, such as peak analysis and curve fitting.

School project. made a predicter for the next year app sales on google play.

Данный проект - одно из моих тестовых заданий. Суть проекта: обработка информации с помощью ChatGpt и дальнейшая работа с результатом. Скрипт написан на python с использованием библиотек: pandas, request, os.

Кратко принцип работы:

1)Загружаем данные из CSV файла в Python с помощью Pandas.

2)Обрабатываем данные в форму, необходимую для отправки запроса в ChatGpt

3)Через OpenAI API и библиотеки requests отправляем запрос в ChatGpt и получаем ответ.

4)Обрабатываем ответ в Python и с помощью библиотеки Pandas сохраняем новый файл с обработанными данными в ту же директорию.

Мой контакт Telegram - @Jenyahard

Polynomial Regression Model single feature and multiple features using scikit-learn. check this project article on medium: https://medium.com/@alhendyrenad/build-a-polynomial-regression-model-in-python-using-scikit-learn-1b5fd31beb02

project for module 33.Airflow in the course "Basic Data Science" at Skillbox.

Sessionization. Python script for making Pandas DataFrame with random customers, products, timestamps, determining sessions, sessions uid

Python script scraping wiki table to dict using pandas & to .csv using bs4

This work is focused on the prediction of customer departures in telecommunications through data analysis. Departures in telecommunications are a relatively common issue, and if potential customers were detected much earlier, their departure could be prevented in many cases. Our work's mission was to predict such customers' departures by using data analysis and by creating decision models. The eventual model will determine which customers are potentially risky and how big the risk is.

Code from our weekly livestream learning Python for SEO.

Python implementation of the BM25 IR ranking algorithm

EDA of border traffic at PL-UA border 01/2022 - 03/2022

Trying to learn the basics of pandas library through exercises for the IDA project

Python Web Conference 2022 Let's Forget About Excel: Conda + Jupyter + Pandas to Leave Office Behind

blog personal

Terminal application with python 3. Fetches records from chat site with selenium webdriver. Saves records from chat site in human-readable and script-usable format, compiles statistics from chat conversations, and serves me with invoices.

trashpanda is a collection of helper methods composing tasks around pandas.DataFrames and Series. Either they are to specific (or I didn't found them).