Udacity Self Driving Car Nanodegree - Vehicle Detection

A simple python script to plot an pcolormesh heatmap using pandas

Visualization and forecast of the COVID-19 cases worldwide

Create a syscalls heatmap for Unikraft.

Используя частотный анализ, для текущего ij-узла, по всем k-ым слоям, посчитать вероятность появления события (они закодированны цифрами - код литологии). Результатом этого шага будет тензор данных, в каждой точке которого содержится вектор вероятности литологии

Application for producing Heatmap Visualizations of Pseudorandom Number Generator algorithms that can be used to analyze the properties of different ways of producing pseudorandom number sequences. The project and associated thesis was completed for Departmental Honors in Computer Science at University of Massachusetts Boston.

These projects as a part of my Data Science internship involve data visualisation, analysis, & prediction using various datasets and machine learning techniques. They utilize libraries like pandas, matplotlib, seaborn, scikit-learn, and NLTK for tasks ranging from gender and age visualisation to sentiment analysis and decision tree classification.

In this project, I developed a blindness detection model using machine learning techniques. Used a dataset of healthy and blind eye images, preprocessed it, and trained a convolutional neural network. Achieved high accuracy in identifying blindness, enabling early detection and intervention for improved outcomes.

Financial Data Visualisation

For my DS Course where I generated a heatmap on PowerBI Desktop based on parcel volume for each of the provinces in China. Data cleaning and sorting through Python

Python with Tableau

This is Glass Type prediction web app

Individual group project in Python

Covid Cases Prediction using Long short term memory (LSTM)

A tool to visualize good times to host events, built with Streamlit.

Historical Analysis and Insights related to United States Wildfires (1992-2009)

Python tool for colorising your GitHub commit heatmap