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abstract-skimmer

A replicated deep learning model of PubMed 200k RCT paper.

business-performance

Measuring business performance metrics including customer growth, product quality, and payment types.

churn-prediction

Detecting which customers are likely to leave a service using XGBoost Classifier

churn-report

Calculates the total number of customers that have churned during a selected time period.

content-based-recommender-system

Create a movie recommender system that uses the content/features of the film/entity.

convolutional-neural-network

Detecting patterns in visual data.

credit-risk-management

Maximizing profitability through credit risk management

crm-strategy-development

Propose CRM strategies by segmenting customers into clusters and identifying purchase patterns and give recommendations separately for each group.

customer-analytics-report

Analyzing current sales growth and customer growth, number of transactions and most-purchased product category, and customer retention.

customer-complaint-classification

Classify consumers' complaints into the product category it belongs to using the description of the complaint.

customer-market-segmentation

Develop a customer segmentation to define marketing strategy.

customer-segmentation

Dividing customers into groups based on Recency, Frequency, and Monetary value using K-Means algorithm.

data-exploration

Import data via API, perform data transformation, and create visualizations to communicate the results of data analysis about COVID-19.

dinachoir

disaster-tweets

Predict which Tweets are about real disasters and which ones are not by leveraging Natural Language Processing.

employee-turn-over

Develop a predictive model that could predict employee's retention.

feature-engineering

forest-fires

This project aims to predict the occurrence and the burned area of forest fires in the northeast region of Portugal based on the spatial, temporal, and weather variables. This prediction can be used for detecting and preventing the occurrence of forest fires early before it can be happened and calculating the forces sent to the incident and deciding the urgency of the situation.

heart-disease-classification

Predict heart disease by leveraging neural network multiclass classification with TensorFlow

holiday-package-project

Project

hotel-performance

Analyze how the customers behave in booking a hotel and their correlations to the cancellation rate of hotel bookings, then present it in the form of data visualization

marketing-campaign

Analyze campaign marketing data related to new financial products. Modeling the relationships between the different features in the data and their impact on the final outcome of the campaign.

neural-network-multiclass-classification

Build model to predict fashion item images in Fashion-MNIST into classes.

personalized-sales-promotion

predicting-clicks-on-ads

Processing historical advertisement data and finding insights and patterns that occur to help company determine marketing targets

purchasing-intention

Draw insights from a customer's behavior on the online shopping dataset. Performed univariate and bivariate analysis while taking various dataset features into consideration. Then, implemented the K-means clustering, and visualized scatterplots based on this value.

rakamin_git

recommender-system

Bulid a movie recommender system which the popular films will have higher possibility to be liked by average viewers. The model will sort films by rating and popularity using IMBD weighted rating formula and add user preferences to filter films by adult/not adult, year, and genre.

retargeting-marketing-campaign

Analyze the customer personality behaviours so that we can target the right customers to transact on the company's platform.

rfm-and-uplift-modeling