martamanevska Goto Github PK
Name: Marta Manevska
Type: User
Bio: Passionate about data-driven decision making. Predicting customer churn and boosting subscriptions through the magic of machine learning. Optimizing businesses.
Name: Marta Manevska
Type: User
Bio: Passionate about data-driven decision making. Predicting customer churn and boosting subscriptions through the magic of machine learning. Optimizing businesses.
This report summarizes a big data project using a Kaggle dataset to predict review scores for orders in Brazilian marketplaces. We employed linear regression to identify key factors influencing review scores, including payment installment method, freight value, customer region, and payment type.
The project examines factors influencing review scores in Brazilian e-commerce, analyzing payment methods, freight value, customer region, and delivery performance. Using big data and machine learning, it provides insights to improve customer satisfaction and logistics.
Customer aggregated data dataset provided by New Supermarkets International which was aimed to reveal data patterns, conduct customer segmentation and predict customer response to the subscription offer. Through data exploration negative entries in the customer spending column were revealed.
Using PYTHON and CRISP-DM model for characterizing and describing the patterns of visitants of Portuguese attractions and comparing it to Portugal's main tourism competitors. Undrestanding visitors' frequent itemset associations, similarities between attractions or visitors, or segment visitors using RFM.
As digital analysts with a background in using Google Analytics, we are excited to dive into the data from the tennis membership website and provide a technical and in-depth analysis of its digital performance over the period November 1st, 2021, to November 1st, 2022. Examination of different metrics.
By using Gephi’s modularity class feature, top 3 communities in subscription model were identified. No gender-related communities were detected. Based on centralities and hub measures there was found a list of users with efficient way transmitting information in the network, these top 100 users are recommended to target.
Data Understanding, Data Preparation and Integration, Regression and Classification Modeling and Clustering Techniques.
Analyzing clicks, impressions, position change in google, page views, session duration, users, devices, and more for a website.
By utilizing web scraping techniques, we were able to observe the similarities and differences between both newspapers, when it comes to main keywords, topics, and even the sentiment expressed. How news outlets on both sides of the conflict portray the Ukrainian War, adding a third one that is supporting the Russian narrative in Europe.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.