Kaggle PlayGround series competitions

Sabyasachi Chakrabarty

Kaggle-Sep-TPS-2024

ANOVA testing to target variable to perform target encoding saving feature space
data normalisation, correlation
comparing models (linear regression, XGBoost, Random Forest Regressor, LGBM regressor)

Kaggle-Jan-TPS-2022

Explored PCA
Algorithms explored and compared are Random Forest, LGBM
Comapred Grid search and Random search

Kaggle-Aug-TPS-2021

Detailed exploration of the data set and Model
Outlier detection and its visualisation
Feature exploration
Manual hyperparameter tuning to understand the effects of the parameters on the model
Explored Random Forest; PCA; LGBM.

Kaggle-July-TPS-2021

First ever competition on Kaggle, an to competitions, a time series analysis for
Time Analysis and Regression analysis
AR/MA time model
ARIMA / SARIMA model wiht various orders
Accuracy with Mean Absolute Percentage Error(MAPE)
Robust Scaling (Outliers)
Ridge Regression (Multicollinearity)
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Posted Sep 25, 2024

Exploring and analysing diverse data science challenges, performing EDA, machine learning and deep learning.

Embryonic-cardiac-Tissue-Profiling
Embryonic-cardiac-Tissue-Profiling
An interactive image annotation pipeline
An interactive image annotation pipeline
MPI-and-OpenMPI-based-PingPongLatency
MPI-and-OpenMPI-based-PingPongLatency