karthikvadlamani's Projects
JSON data parsing, transformation and manipulation; date and time handling; custom functions and row-wise processing; JSON payload transformation; data validation and error handling; CSV file generation
Data Science projects with R and Python
Just some datasets for my use
Prediction of delivery times for DoorDash deliveries. Performed feature engineering (creation, encoding), feature selection using (multi)collinearity analysis, Gini importance and PCA. Applied 6 ML models to perform regression analysis on delivery time prediction.
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
Basics of Data Science with Python. Special thanks to @llSourcell
Config files for my GitHub profile.
Performed feature engineering, cross-validation (5 fold) on baseline and cost-sensitive (accounting for class imbalance) Decision trees and Logistic Regression models and compared performance. Used appropriate performance metrics i.e., AUC ROC, Average Precision and Balanced Accuracy. Outperformed baseline model.
Classification of movies as 'Fresh', 'Rotten', 'Certified-Fresh' using categorical predictors as well as review sentiment. Performed feature encoding and used Decision Tree, Random Forest Classifiers. Tackled class imbalance issues by assigning weights to classes. Used tokenization to generate word vectors for reviews to predict movie status.
Computation using data flow graphs for scalable machine learning