Pinned Repositories
201907_machinelearning
Machine Learning Tutorial by Minsuk Heo
2021CA
2021CA Project
2021sba_miniproject_01
2021sba_miniproject_01
2022_knou
2022_knou 소프트웨어융합공학 테스트
2HAE-lifestyle-worksheet
This is an assignment from 2HAE lifestyle, using CNN and GANs to generate proper chair image generation
3dgan-release
3D Generative Adversarial Network
awesome-guidelines
A curated list of high quality coding style conventions and standards.
aws-sdk-python
kisa-dev-4
kisa-dev-4
rust_rocket_test
rust_rocket_test
eeeclipse's Repositories
eeeclipse/deeplearning.ai_notes
Notes for Andrew Ng's courses on deep learning
eeeclipse/201907_machinelearning
Machine Learning Tutorial by Minsuk Heo
eeeclipse/marcap
market cap datasets (1995~2019 daily, 10 million+ rows)
eeeclipse/snowball
eeeclipse/Gachon_CS50_Python_KMOOC
K-MOOC Python
eeeclipse/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
eeeclipse/mysql-protobuf
eeeclipse/GANs_Project
New object designs using DC-GANs
eeeclipse/3dgan-release
3D Generative Adversarial Network
eeeclipse/loan_prediction_using_PCA_and_naive_bayes_classification_with_R
Nowadays, there are numerous risks related to bank loans both for the banks and the borrowers, who get the loans. The risk analysis about bank loans needs understanding about the risk and the risk level. Banks need to analyze their customers for loan eligibility so that they can specifically target those customers. Banks wanted to automate the loan eligibility process (real time) based on customer details such as Gender, Marital Status, Age, Occupation, Income, debts and others, provided in their online application form. As the number of transactions in banking sector is rapidly growing and huge data volumes are available, the customers’ behavior can be easily analyzed and the risks around loan can be reduced. So, it is very important to predict the loan type and loan amount based on the banks’ data
eeeclipse/TensorFlow-ML-Exercises
Learning Machine Learning with TensorFlow