PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
Python wrapper for the Highcharts Core JavaScript library
In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.
Python wrapper for the Highcharts Stock data visualization library.
Data visualization charts made mostly with Python, matplotlib, pandas, and numpy, and some scipy, plotly, seaborn, holoviews bokeh, streamlit, and R. Dataviz on Twitter. #30DayChartChallenge
Python wrapper for the Highcharts Maps data visualization library.
Application for cloning and exploring Git repos and local directories. Browse repos, visualize directories, preview code, generate AI explanations, and analyze file sizes.
All my learnings from "Data Visualization with Python" course offered by "IBM" on coursera are reflected here.
An automated pipeline that uses the YouTube Data API to extract video data based on specific keywords, storing the most-viewed videos in GitHub for trend analysis and actionable insights.
Data Visualization using Python
Application of Python and its useful packages/libraries/modules/functions for performing efficient data analytics and data visualization.
Understanding User Engagement Patterns and Perform Churn Analysis
Sauti East Africa request for a segmentation analysis on all of their user's behavior. Sauti wishes to better optimize their menu design and explore the feasibility of smart menus based on user predicted behavior.
Heriot Watt University Edinburgh Data Science Life Cycle Courseworks, Labs and Practice Tests of 2025
project: (Customer Personality Analysis for Marketing Optimization); database: (Customer Segmentation: Clustering)
"Hands on EDA" GitHub repo: Your ultimate guide to Exploratory Data Analysis (EDA) best practices, inspired by "Hands-On EDA with Python" book. Dive into curated code snippets and Jupyter notebooks for mastering EDA with Python. Perfect for all skill levels!
Developing an accurate and reliable financial prediction model for the next 5 years using historical data, to assist investors, traders, and financial analysts make informed decisions about buying or selling stocks in a dynamic market.
An analysis of my watch history for 2023
Python programming and data analysis
Projects (Assignment projects for each course) related to IBM Data Science Certification courses
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