Data Analysis of the Indian Premier League | Self Project (Apr’22 – May’22) • Analysed the dataset of all editions of IPL with 2 lakh data points with 18 features • Performed training on Google Colab with GPU runtime and built the model in Pytorch, a deep-learning framework • Used mean squared error with _R square_sc ore for model evaluation and achieved a 70% accuracy rate with a 10-run margin of error