A list of my top exploratory data analysis projects, in the form of Jupyter Notebook using Python.
Most notebooks are fully open-sourced on GitHub. You can click on the picture to view the full project on GITHUB and KAGGLE.
BIKE SHARING DEMAND in LONDON
Data Analysis | Scaling
Python | 2024
In this project, data on bike sharing in London was visualised and analysed to uncover patterns and trends using exploratory data analysis techniques and various visualisations.
Explore the full project on:
Github: Analysis & Report Kaggle: Notebook
CANCER CELL
Exploratory Data Analysis
Python | 2024
In the health domain, this analysis was conducted to differentiate between benign and malignant cells in Cancer disease based on their structural characteristics.
Explore the full project on:
Github: Analysis & Report Kaggle: Notebook
KYPHOSIS RISK
Exploratory Data Analysis
Python | 2024
In the field of health, EDA project work has been carried out to analyse and predict Kyphosis risk in children.
Explore the full project on:
Github: Analysis & Report Kaggle: Notebook
STARTUP FUNDING
Exploratory Data Analysis
Python | 2024
In this analysis, key patterns and insights about factors contributing to the success of startups were identified.
Explore the full project on:
Github: Analysis & Report Kaggle: Notebook
HUMAN RESOURCES ATTRITION
Exploratory Data Analysis
Python | 2024
The Bike Demand Project involves visualising and analysing historical bike sharing data in London to uncover patterns and trends using exploratory data analysis techniques and various visualisations.
Explore the full project on:
Github: Analysis & Report Kaggle: Notebook
DAILY STOCK PRICES
Exploratory Data Analysis
Python | 2024
Within the finance sector, conducting analysis and forecasting the daily stock prices and returns of four companies.
Explore the full project on:
Github: Analysis & Report Kaggle: Notebook
