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This is a capstone level classification ML project for predicting IPL team finishing position for an year based on Individual player's performance. The project includes web-scraping ESPN cricinfo website for ipl player statistics, pre-processing the data, and comparing different classification models and hyperparameter tuning them.

Jupyter Notebook 99.78% Python 0.22%
beautifulsoup capstone-project classification-models data-preprocessing featureengineering hyperparameter-tuning ipl ipl-team-positoin-prediction pca sklearn-library webscrapping webscrapping-python

ipl-team-finishing-position-predictive-modeling's Introduction

  • Hi, Iโ€™m Shreyansh Padarha !
  • Currently pursuing a Bachelors in Data Science.
  • Well versed with Pandas, Sci-kit learn, Seaborn, Matplotlib, MongoDB, SQL Workbench, NLTK, Transformers, Plotly, Orange, Streamlit and other data science / ML related tools.
  • Iโ€™m looking to collaborate, work and learn on any sprawling Data Science, ML, NLP, deep learning projects.
  • ๐Ÿ“ซ bump fists with me @ : [email protected]

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