A curated collection of essential Data Science books, featuring foundational and advanced texts on analytical techniques, data visualization, and machine learning. This selection spans introductory to specialized guides, covering tools like Python, R, and more, suitable for both beginners and experts.

This space to showcase my journey in exploring various datasets, uncovering patterns, and extracting meaningful insights. Each project highlights different aspects of EDA, demonstrating techniques and tools that are essential for making sense of data.

This project is designed to explore and identify emerging patterns in consumer purchasing behavior. Utilizing a combination of sales data, customer feedback, and market research, this project aims to provide valuable insights into the latest trends influencing shopper preferences and decisions.

📊 Sourceduty's data projects.

Repository for the Data Science and Analytics course materials at Tecnológico de Monterrey. Includes playbooks and analyses for practical data science applications, from fundamentals to predictive models.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Explore my collection of my projects showcasing Machine Learning, Analysis, and others. Each folder projects contain code, source datasets, and documentation.

Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources. Dive in, to discover insights and techniques in data science. Reach out for collaborations and feedback.

⭐ ⭐ Use ML to classify flows and packets as benign or malicious. ⭐ ⭐

I am a highly skilled Data Analyst and Scientist with expertise in R, Python, Tableau and Power BI. A collaborative team player committed to leveraging advanced analytical and statistical methods to support business planning and decision-making. Proven track record of successful report creation and analysis.

Discover a curated set of Data Science Mini-Projects in this repository. Explore links to individual GitHub repos, each hosting a unique project. From data analysis to machine learning, these hands-on projects offer valuable insights. Enhance your Data Science skills through practical examples in a variety of domains.

This portfolio showcases a collection of data science and data analysis projects that I have undertaken for academic purposes, self-learning, and personal hobbies. It is regularly updated to reflect my ongoing endeavors in the field. Additionally, this portfolio serves as a demonstration of my acquired skills and certifications.

🌱 My Personal Portfolio 🌱

Collections of Projects in the Domain of Data Science and Machine Learning

This project aims to analyze and forecast daily revenue and the daily number of receipts across six distinct restaurants, by employing a statistical approach and utilizing predictive models, particularly the SARIMA and TBATS models.

This project aims to conduct an analysis of costumers behavior and perception of the brand, by implementing different marketing analytics techniques and methods: RFM (recency, frequency, monetary) model, churn classification, MBA (market basket analysis) and sentiment analysis.

This project aims to perform a social network and content analysis relatively to the r/marvelstudios subreddit from the popular online discussion forum Reddit. Report and project presentation are in english.

This project focuses on analyzing the world of anime media: in particular, the objective is to inspect the most beloved anime series between users from Italy and the rest of the world, as well as observing their preferences and dissimilarities. Report and presentation are in italian.

DataCamp Certification: Data Science Associate Practical Project