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python

np.log1p와 np.expm1, Feature Engineering, 희소값 탐색

2022-11-08 자전거 대여 경진대회 데이터를 활용한 np.log1p와 np.expm1를 활용하여 모델구축, 예측 및 학습 진행하기, 주택 가격 예측 경진대회 데이터를 활용한 Feature Engineering과 희소값 탐색

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Leet code

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algorithm

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EDA

np.log1p와 np.expm1, Feature Engineering, 희소값 탐색

2022-11-08 자전거 대여 경진대회 데이터를 활용한 np.log1p와 np.expm1를 활용하여 모델구축, 예측 및 학습 진행하기, 주택 가격 예측 경진대회 데이터를 활용한 Feature Engineering과 희소값 탐색

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Learning Machine

np.log1p와 np.expm1, Feature Engineering, 희소값 탐색

2022-11-08 자전거 대여 경진대회 데이터를 활용한 np.log1p와 np.expm1를 활용하여 모델구축, 예측 및 학습 진행하기, 주택 가격 예측 경진대회 데이터를 활용한 Feature Engineering과 희소값 탐색

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Deep Learning

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Feature Engineering

np.log1p와 np.expm1, Feature Engineering, 희소값 탐색

2022-11-08 자전거 대여 경진대회 데이터를 활용한 np.log1p와 np.expm1를 활용하여 모델구축, 예측 및 학습 진행하기, 주택 가격 예측 경진대회 데이터를 활용한 Feature Engineering과 희소값 탐색

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Feature Scaling

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Transformation

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Encoding

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CNN

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Matplotlib

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log function

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exponential function

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Hyper Parameter

np.log1p와 np.expm1, Feature Engineering, 희소값 탐색

2022-11-08 자전거 대여 경진대회 데이터를 활용한 np.log1p와 np.expm1를 활용하여 모델구축, 예측 및 학습 진행하기, 주택 가격 예측 경진대회 데이터를 활용한 Feature Engineering과 희소값 탐색

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Seaborn

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Discretisation

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Feature Generation

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Convolution

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Padding

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Kernal size

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Pooling

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CountVectorizer

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Stack

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Tree

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Bit

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greedy

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Dart

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회귀

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seaborn

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필사

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Linear Regression

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Gradient Boosting

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XBG

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Catboost

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Logistic Regression

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Complex Matrix

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loss

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activation

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optimizer

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NLP

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IDF

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Machine learning

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Supervised learning

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Regression

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list

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dictionary

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string

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Conneted layer

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Graph

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sliding window

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Machine Learning

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plot

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Log

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matplotlib

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LightBG

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KNN

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Optimiaztion

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Gradient Descent

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Support Vector Machine

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Margin

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LightGBM

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category

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regression

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catagorize images

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RNN

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KoNLPy

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Data Scientist

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Data Engineer

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Data Analyst

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Classification

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Unsupervised learning

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Clustering

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Coding style

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big-O

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Arbitrary-Precision

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set

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Sequence

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Immutable Object

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Mutable Object

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MySQL

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programmers

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Arrays

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Docker

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Hash table

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Short Cut

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heap

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trie

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order

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dynamic programming

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Object Oriented Programming

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Functional Programming

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