CVPR2023 | MVImgNet: A Large-scale Dataset of Multi-view Images

[ECCV2020 Spotlight] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

[CVPR2021] Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes

A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer” [TASLP 2024]

Predict if SpaceX Falcon 9 first stage will land successfully after rocket launches.

Foundational Python skills for Working with a real-world data set and a real-world inspired scenario to identify patterns and trends

Solve time series and forecasting problems in TensorFlow, Prepare data for time series learning using best practices, Explore how RNNs and ConvNets can be used for predictions, Build a sunspot prediction model using real-world data

Example code for the handbook "Comparative effectiveness and personalized medicine using real-world data"

ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data

Using real world data to train machine learning models for disease predictions

A Python script for rock climbers that finds new cliffs / boulder fields based on elevation data

This is the coding and solution for my MSc Computer Science Thesis (2023) that uses Garmin FIT files to visualise athletes data for their own training development

Predicts which telecom customers are likely to churn with 95% accuracy using real-world data features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

Working with a real world data-set using SQL (SQLite) and Python

Linear Machine Learning Models for Predictive Analysis on Iowa Road Quality

An intuitive python front-end for converting field data to representative real-world drive cycles for lithium-ion batteries

🩺 Healthcare Data Integration, Analysis & Visualization project using Python, Jupyter Notebook, and Power BI. Integrates multi-sheet Excel data, performs data cleaning, feature engineering, exploratory analysis, and delivers interactive healthcare dashboards.

10 hrs live hackathon held at ZS Office amongst the Top 40 Emerging Data Scientists of the country.

Start a 50days-sql-challenge journey to SQL mastery and transform how we interact with data!