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Using AI for Good: Helping non profits in predicting carbon calculation
Machine Learning
Python
Technologies:
Machine Learning, Python, XGBoost, Linear Regression
Author:
Sujan Bhattarai
Sujan Bhattarai
Did Smoking Mothers Have Lowered Weight Children?
Causal Inference
R
The analysis aimed to estimate the causal effect of maternal smoking during pregnancy on infant birth weight. Initial comparisons showed a significant difference in birth…
Sujan Bhattarai
Comparing competing Machine Learning models in classifying Spotify songs
Machine Learning
R
In this project, I explored four popular machine learning models (K-Nearest Neighbors, Decision Tree, Bagged Tree, and Random Forest) to classify Spotify songs into two…
Sujan Bhattarai
Soccer players attributes comparison: Conclusion from Data visualization
Data Visualization
R
This project aims to create infographics comparing attributes of soccer players, sourced from a European soccer database available on Kaggle. The database contains data on…
Sujan Bhattarai
Exploring the Impact of Marketing Strategiese: A Deep Dive into EDA and A/B Testing
ABTest
Python
In the dynamic world of marketing, understanding customer behavior and optimizing strategies is paramount for success. As data scientists, we play a crucial role in…
Sujan Bhattarai
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