A exercise developed using the kmeans method for the intelligent systems course at UFMT.
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Updated
Mar 15, 2022 - Python
A exercise developed using the kmeans method for the intelligent systems course at UFMT.
IPL EDA (Exploratory Data Analysis) was conducted, revealing valuable insights. The analysis focused on various aspects such as player performance, team statistics, and match outcomes. Key findings include trends in run-scoring, top performers, and team dynamics. The EDA offers actionable insights for teams and fans to make data-driven decision
This project aims to gather data on the top 10 best cryptocurrencies from the Coinmarket API and perform data cleaning and analysis using Python. The cleaned data is then saved as a CSV file, and an email is sent with the CSV file as an attachment to a specified recipient. Finally, a visually appealing dashboard is created using Power BI to provide
We analyze the the performance of a video based on the first 30 days after publication.
This file contains functions that you use for data tasks
Data Scrape, Data Transform, Data Visualization, Data Analysis, Tableau
With approximately 7000 lines of code, both Supervised and Unsupervised Learning types will be explored and discussed.
Download articles, preprocess , index and search them.
This Repository contains details of all my SQL Projects,please open respective folder for detailed info of any project
Mobile network and Economic Indicator Analysis
Streamliner AI is an advanced AI-powered data cleaning web application, built with the Streamlit framework and integrated with GPT-4 for seamless, intuitive data processing.
python module for parsing PDF and scraping URLs
Data Analysis / Data Science mini-project. The project includes exploring the three datasets, data cleaning, making data uniform, changing headers, changing index, merging data, and manipulation using Numpy and Pandas. More information in project_description.txt
Programs I write for my Data Mining course
This project was to create our designed AUC Catalog. It was divided into three phases; the first was to create the database design and the schema. The second phase was to scrape the original AUC catalog to collect the data we need and insert them into our database. The third phase was to create an API and a frontend to have a working website tha…
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