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Swetha Kallam's Projects

orgneatui icon orgneatui

A simple .net based project, based on Twitter Scraping principal to download historic Tweets. This project has standard library and UI. Library can be imported to any other projects. UI is a demo and quick use tool.

predicting-nhl-player-salaries- icon predicting-nhl-player-salaries-

Predicted the salaries of hockey players with 73% accuracy. I used Random forests classifier for feature selection. XGBoost and random forests for training and testing the models

python-for-data-science-ml icon python-for-data-science-ml

SUPERVISED LEARNING: REGRESSION: Linear - Polynomial - Ridge/Lasso CLASSIFICATION: K-NN - Naïve Bayes - Decision Tree - Logistic Regression - Confusion Matrix - SVM TIME SERIES ANALYSIS: Linear & Logistic Regr. - Autoregressive Model - ARIMA - Naïve - Smoothing Technique UNSUPERVISED LEARNING: CLUSTERING: K-Means - Agglomerative - Mean-Shift - Fuzzy C-Mean - DBSCAN - Hierarchical - Canopy DIMENSION REDUCTION: PCA - LSA - SVD - LDA - t-SNE PATTERN SEARCH: Apriori - FP-Growth - Euclat RECOMMENDATION ENGINE: Association Rules - Market Basket Analysis - Apriori Algorithm - Real Rating Matrix - IBCF - (Item) - User-Based Collaborative Filtering UBCF - Method & Model ENSEMBLE METHODS: BOOSTING: AdaBoost - XG Boost - LightGBM - CatBoost. BAGGING: Random Forest STACKING

search-engine-from-scratch icon search-engine-from-scratch

This is our try at building a search engine from scratch. The goal is create a search engine for users who are looking for genuine original watches as we collect data from genuine websites and show search results which ensures that the products displayed are 100% genuine.

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