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공공데이터 분석
Exploring 118 wells of 1 MM+ rows and 29 columns of wireline petrophysical data using the Pandas library. Analysed & Visualised wireline logs petrophysical dataset using - Pandas, Numpy, Matplotlib, Plotly & seaborn libraries Discovered insights of wireline logs quality & interpretation (missing data and imbalance class
In this project, we created an 'expected goals' metric to help us assess a team's performance rather than the actual number of goals scored. We merged this metric with the calculation of a team's offensive and defensive ratings, which are updated after every game, to create a classification model that predicts the outcome of future matches, as well as a regression model that predicts the score of future games Our models outperform existing traditional techniques and achieve similar accuracy to betting sites' models.
EDA for more than 30K game ratings collected from [IGDB API](https://api-docs.igdb.com/#about) using [igdb-api-v4 for python](https://github.com/twitchtv/igdb-api-python). This notebook explores any common trends for games that have ratings from igdb and external critics.
Выполненные проекты в программе курса "Аналитик данных" от Яндекс.Практикума
Projeto 2 - Pesquisa de RH para seleção de candidatos
ML model created to predict the online news popularity
Exploratory and explanatory analysis of a small, generated dataset. pandas + missingno + seaborn.
Exploratory Data Analysis and Data Cleaning on a Amazon E-Commerce Dataset
OpenClassrooms Data Analyst 2022-2023 - Projet 5
OpenClassrooms Data Analyst 2022-2023 - Projet 9
Analyzing of local and global temperature data and comparing the temperature trends with a residence to overall global temperature trends.
Este espaço é dedicado para treinar minhas habilidades em ciência de dados, concentrando-se principalmente no aproveitamento da biblioteca Pandas para manipulação e análise de dados.
📈 Data Science Using Python
In the real world, a dataset with no missing values doesn't exist...So in this notebook, we explore different ways of dealing with it.
Student's projects in Yandex. Praktikum (Yandex educational platform)
Exploratory Data Analysis
A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks