Script to graph input latency data
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Updated
Oct 28, 2025 - Python
Script to graph input latency data
Analyzing the customer dataset and developing a machine learning solution to segment customers into meaningful groups based on their purchasing behavior, demographics, and interaction with past marketing campaigns.
Objective: To reduce customer attrition and identify at-risk users for a telecommunications company by building a predictive machine learning model.
python code for extracting data from csv file , using Matlab plot and seaborn Libraries
Projects I've created using Python.
Data visualization in Python with matplotlib and seaborn packages.
Breast Cancer Detection - This project tackles the crucial challenge of early breast cancer detection using machine learning techniques. Using Machine learnig algorithms, Support Vector Machine, Randon Forest.
Analyzed Airbnb's impact on NYC rentals using Python, SQL, and Tableau. Built an ETL pipeline, performed forecasting with scikit-learn, and created interactive dashboards to visualize pricing trends and listing saturation.
The Sales Analysis CLI App is a Python-based command-line tool that helps users analyze sales data from a CSV file in a simple and interactive way. It provides detailed insights into product-wise and region-wise revenues, handles missing data intelligently, and presents key information using both tabular summaries and rich visualizations .
Data Visualisation using Matplotlib and Seaborn in Python
The project involves a detailed analysis of Kenyan YouTube channels using the YouTube API to collect data on various genres. It examines metrics like total views, video uploads, and subscriber counts, culminating in the creation of visualizations and an interactive dashboard for an enhanced understanding of the findings.
This program provides data loading, exploration, and analysis tools, including descriptive statistics, column categorization, target variable summaries, and correlation analysis. With error handling, it enables seamless exploration and insights extraction from datasets.
Atividade Prática da Faculdade - Analisar Dados de Vendas Utilizando PYTHON, Biblioteca PANDAS e Gerar Visualizações (DASHBOARD) com MATPLOTLIB e SEABORN para Identificar Padrões e Insights. (Armazenar Todos Os Dados Em Um Banco de Dados SQLite)
This is the combined repository for SQL Internship Projects: Project 1- Online Retail Sales Analysis and Project 2- Inventory & Warehouse Management
Analyze the data from Spotify's extended streaming history.
Data visualization practice with Python using the Seaborn library.
The Data Analysis Tool is a Python program that provides basic data analysis features for a given dataset.
Bubble Plot
This project visualizes medical data using Python. It creates a categorical plot to show distributions of health metrics and a heatmap to display correlations between medical factors like cholesterol, glucose, and BMI, analyzing their relationship with cardiovascular disease.
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