GitHub / martamanevska 1 Repository
Passionate about data-driven decision making. Predicting customer churn and boosting subscriptions through the magic of machine learning. Optimizing businesses.
martamanevska/Python-Exploratory-Data-Analysis-for-Website
Analyzing clicks, impressions, position change in google, page views, session duration, users, devices, and more for a website.
Language: Jupyter Notebook - Size: 8.72 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
martamanevska/SEO
SEO Guidelines and Best Practises
Size: 61.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
martamanevska/Big-Data-Kaggle-Dataset-Project
Finding insights for further marketing decisions using dataset: from order status, price, payment and freight performance to customer location, product and reviews. According to the description of the dataset available on Kaggle, the collection of dataset used to develop the project refers to orders made at multiple marketplaces in Brazil.
Size: 20.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
martamanevska/Machine-Learning-Techniques-Projects
Data Understanding, Data Preparation and Integration, Regression and Classification Modeling and Clustering Techniques.
Language: Jupyter Notebook - Size: 16 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
martamanevska/SAS-Miner-Marketing-Engineering-Project
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.
Size: 2.79 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
martamanevska/Gephi-Graphs-Deezer-Project
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.
Size: 12.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
martamanevska/Social-Media-Analysis-WebScraping-Project
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.
Language: Jupyter Notebook - Size: 29.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
martamanevska/Search-Engine-Optimization-Project
SWOT Analysis, Competitors analysis, Digital Channels, Objectives, Strategy, Segmentation and Target, Omni-channel Marketing and Actions for a digital business.
Size: 1.97 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
martamanevska/Google-Analytics-Project
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.
Size: 3.62 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
martamanevska/Data-Science-for-Marketing
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.
Language: Jupyter Notebook - Size: 44.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0