karthikvadlamani Goto Github PK

chama-data-transformation

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

Data Science projects with R and Python

datasets

Just some datasets for my use

doordash-delivery-predictions

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.

fantasy-premier-league

Creates a .csv file of all players in the English Player League with their respective team and total fantasy points

humble-beginnings

Basics of Data Science with Python. Special thanks to @llSourcell

karthikvadlamani

Config files for my GitHub profile.

reddit-dataisbeautiful

revolut-fraudsters-detection

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.

rotten-tomatoes-movie-classification

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.

tensorflow

Computation using data flow graphs for scalable machine learning