This documentation is like a quick snapshot of my project in the data field, showing off my skills and know-how in this area.

A Heart Attack Risk Prediction Project

Random forest analysis of match statistics and team performances in five seasons of the English Premier League (EPL)

The welcome content for the Halerium platform

We solve a regression problem in which it consists of calculating the health insurance charge in the United States Where we will break down the project into 5 phases: Exploratory Analysis. Feature Engineering. Selection of the ideal model. Development of the final model. Creation of a web application in streamlit.

Master's Final Degree Project on Artificial Intelligence and Big Data

The project is to recognize fraudulent credit transactions. You only need to put the dataset and model will detect the fraudulent credit transactions.

Data science project consisting of 4 parts: 1-Web Scraping 2-Data Preprocessing 3-Data Visualization 4-Machine Learning

Scraping Data Science jobs, performing EDA, building a regression model and productionizing it.

Using exploratory data analysis and k-means clustering to analyze competitive balance in soccer/football

A machine-learning model predicting crypto price from the time-series data

Datasets I've collected which can be used for data science and database projects, study, learning, and practice.

Customer segmentation is dividing the customers into segments based on RFM scores. In this project I've used RFM model in R to generate RFM score.

Personal data science project in Python visualizing and predicting bicycle counts in Vancouver, BC

Data Science Project | Topic : Titanic

So, market size analysis is a crucial aspect of market research that determines the potential sales volume within a given market

Alexa Sentiment Analysis interprets user emotions from their interactions with Amazon's virtual assistant. By analyzing speech patterns and language, it categorizes sentiments as positive, negative, or neutral. This enhances Alexa's responses, ensuring more personalized and effective interactions.