Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
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
The welcome content for the Halerium platform
Random forest analysis of match statistics and team performances in five seasons of the English Premier League (EPL)
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.
A machine-learning model predicting crypto price from the time-series data
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 python project on analyzing airline flight prices from different routes. A data science learning project taught by Shan Singh.
Time Series Analysis of Stock Prices. A data science practice real world project taught by Shan Singh
The following insights are expected from this project. 1. Department wise performances 2. Top 3 Important Factors effecting employee performance 3. A trained model which can predict the employee performance based on factors as inputs. This will be used to hire employees 4. Recommendations to improve the employee performance based on insights from C
Datasets I've collected which can be used for data science and database projects, study, learning, and practice.
Personal data science project in Python visualizing and predicting bicycle counts in Vancouver, BC
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.
So, market size analysis is a crucial aspect of market research that determines the potential sales volume within a given market