machine learning162 [Tech With Tim] Python Machine Learning Tutorial #7 - KNN p.3 - Implementation *** Python Machine Learning 7 : KNN Implementation - Training a KNN Classifier - Testing Our Model - Looking at Neighbors *** Text-Based Tutorial & Code: https://techwithtim.net/tutorials/mac... 2020. 5. 20. [Tech With Tim] Python Machine Learning Tutorial #5 - KNN p.1 - Irregular Data *** Python Machine Learning 5 : #KNN p.1 - Irregular Data - Introduction to KNN(K-Neatest Neighbors; K-최근접이웃 알고리즘) - Downloading the Data (Car Evaluation Data Set) - Importing Modules (#sklearn, #pandas, #numpy) - Loading Data - Converting Data *** Text-Based Tutorial & Code: https://techwithtim.net/tutorials/mac... 2020. 5. 20. [Tech With Tim] Python Machine Learning Tutorial #4 - Saving Models & Plotting Data [ 이미지출처: 생물정보학자의 불로그 "[python] 파이썬 pickle 피클 사용법" ] *** Python Machine Learning 4 : Saving Models & Plotting Data - Installing Packages (matplotlib) - Importing Modules - Saving Our Model (by pickle) - Loading Our Model - Training Multiple Models - Plotting Our Data *** Text-Based Tutorial & Code: https://techwithtim.net/tutorials/mac... 2020. 5. 18. [Tech With Tim] Python Machine Learning Tutorial #3 - Linear Regression p.2 *** Python Machine Learning 2 : Linear Regression p.2 선형회귀분석 2 - How Does it Work? - Implementing the Algorithm - Viewing The Constants - Predicting on Specific Students *** Text-Based Tutorial & Code: https://techwithtim.net/tutorials/mac... *** UCI Data Set: https://archive.ics.uci.edu/ml/datase... 2020. 5. 18. 이전 1 2 3 4 5 6 7 ··· 41 다음
