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srinithya-halaharvi / Analyzing_Predicting_Election_Outcomes_Indian_Politics

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A study to analyze and predict Election Outcome in Indian Politics using multiple machine-learning algorithms Decision Trees, Random Forests, SVM, and XGBoost with hyper parameters tuning (Grid search).

machine-learning data-mining cross-validation data-visualization predictive-analysis decision-tree-classifier svm-classifier random-forest-classifier grid-search-hyperparameters mit-manipal xgboost-classifier manipal-institute-of-technology dmpa-project
  • Updated Nov 18, 2023
  • Jupyter Notebook

shrudex / DSE

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DSE is a repository where I upload my data science related programs and codes that I have worked on during my time at MIT Manipal's Data Science and Engineering branch. The repository includes assignments that cover various aspects of data science. These programs and codes serve as a testament to my skills and knowledge in the field of DSE.

python java data-science machine-learning sql database cpp data-analytics dsa object-oriented-programming algortithms mit-manipal
  • Updated Apr 22, 2024
  • Jupyter Notebook

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