Pinned Repositories
clustering
decesion-tree
forecast_examples
different ways of forecasting time series
KNN--classifier
logistic-regression
martins_yolo
martins object detection classifier with tensorflow2.0 using yolo3
multi-linear-regression
MLR
naive-bayes
salary data using naive
navie_bayes
patent_similarity
To identify the top ten similar patents to the patents in sheet1 from patents in sheet2
sagarbabu23's Repositories
sagarbabu23/martins_yolo
martins object detection classifier with tensorflow2.0 using yolo3
sagarbabu23/patent_similarity
To identify the top ten similar patents to the patents in sheet1 from patents in sheet2
sagarbabu23/clustering
sagarbabu23/decesion-tree
sagarbabu23/forecast_examples
different ways of forecasting time series
sagarbabu23/KNN--classifier
sagarbabu23/logistic-regression
sagarbabu23/multi-linear-regression
MLR
sagarbabu23/naive-bayes
salary data using naive
sagarbabu23/navie_bayes
sagarbabu23/neural-networks
NN_toyota_startups_computerdata
sagarbabu23/pca
pca_university
sagarbabu23/projects
R code for the delivery- delay- eCommerce.Prediction of missed delivery for an e- commerce website. Integrated with MySQL, Google sheets & presenting in r shinny app. Used prediction techniques RF, Gb, Xgb, C50 and AdaBoost .Considered SIPOC and VCM for the understanding process and value chain, and building the model, this helps to analyze all the input variable to be considered to have good prediction . Predicted the data with 98.2% accuracy and helped to reduce the late deliveries.
sagarbabu23/Random-forest
sagarbabu23/resume-jd-match
matching or ranking resumes for required job description(JD)
sagarbabu23/sales_forecasting_timeseries
Airlines_cocacola_plastic
sagarbabu23/SVM
support vector machine for salary data set
sagarbabu23/textmining
amazon, twitter and flipkart analysis
sagarbabu23/unsupervised_recommender