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Jun 24, 2018 - Jupyter Notebook
customer-behavior-analysis
Here are 22 public repositories matching this topic...
Literature Survey, Documentation, Analysis and Results
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May 24, 2020 - Jupyter Notebook
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Jul 25, 2020 - Python
This is a customer loyalty analysis based on historical purchase behavior in R language.
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Sep 13, 2020 - HTML
Analyse customer segmentation, sentiment on product review, and built a product recommender system
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Jan 15, 2021 - Jupyter Notebook
Modelling customers' behaviour for better marketing strategies. Constructing the baseline behavioural scorecard model to fasten the mortgage application process. In cooperation with Atom Bank.
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Sep 12, 2021 - R
Multivariate Time Series Classification for Human Activity Recognition with LSTM
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Dec 11, 2021 - Jupyter Notebook
Customer journey analysis with PM4PY in Python.
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Mar 19, 2022 - Jupyter Notebook
With SQL queries I explore the Sakila DVD Rental database, to present insights about customer behavior and rental patterns.
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Apr 30, 2022
Intelligent Algorithms website
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Mar 9, 2023 - CSS
Analyzing customer interactions, purchases, and engagement on an e-commerce website 💡
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Jun 13, 2023
Utilized BeautifulSoup to webscrape data and gain company insights. Also applied Random Forest algorithm to predict customer buying behaviour.
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Dec 17, 2023 - Jupyter Notebook
Performed Consumer Behavior Analysis using Google Trends for the word Tyson Chicken, and providing recommendations
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Dec 17, 2023
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Feb 5, 2024 - Jupyter Notebook
Detailed analysis of a company’s ideal customers, helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers
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May 17, 2024
Analysis customer behavior in a movie center
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Jun 26, 2024 - Python
This project utilizes machine learning to analyze and segment e-commerce customer behavior. It predicts purchases and clusters customers based on demographic data and product preferences, aiming to optimize marketing strategies and enhance customer satisfaction.
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Jul 8, 2024 - Jupyter Notebook
Building a nearest-neighbor classifier to predict online shopping purchase completions based on user browsing behavior. The project uses a dataset of 12,000 sessions, analyzing features like pages visited, session duration, and bounce rates
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Jul 29, 2024 - Python
Predicts customer upgrade likelihood using logistic regression, random forest, and XGBoost. Features NLP techniques and memory optimization.
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Aug 1, 2024 - Jupyter Notebook
This project is focused on identifying key products that contribute significantly to revenue and analyzing customer purchase behavior
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Sep 1, 2024
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