missingno

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

Rainfall Prediction & Exploratory Analysis system for Indian agriculture using Machine Learning. It analyzes historical weather data, detects rainfall patterns, and predicts next-day rain probability via a Flask API, enabling smarter crop planning, irrigation management, and agricultural risk assessment.

Exploratory Data Analysis and Data Cleaning on a Amazon E-Commerce Dataset

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 w…

A dataset of meteorological sensors with data cleaning and finding the best learning model for forecasting

A python script to convert any image to a MissingNo like sprite

Developed a robust diabetes prediction system with rigorous preprocessing, feature engineering, and optimized ML models. Implemented efficient training and evaluation workflows to ensure high accuracy, reliability, and clear interpretability—demonstrating strong applied machine-learning expertise.

An advanced data analysis on Traffic Accidents by using dataset by OPENML

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.

ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 9

Выполненные проекты в программе курса "Аналитик данных" от Яндекс.Практикума

ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 5

Came across the missingno library. Made a couple of Jupiter notebooks to see how it works and what I can use it for at work.

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.

Exploratory Data Analysis

En este proyecto se verá métodos avanzados para manejar los datos faltantes de manera más eficiente

Student's projects in Yandex. Praktikum (Yandex educational platform)