prathikshana Goto Github PK
Type: User
prathikshana's Projects
customer-data-analysis---ml
Ecommerce customers churn analysis and order count prediction.
data-aggregation
fetal_ctg_multiclass
Classify fetal health in order to prevent child and maternal mortality..This dataset contains 2126 records of features extracted from Cardiotocogram exams, which were then classified by three expert obstetritians into 3 classes: Normal Suspect Pathological
knee-degradation-stages
The knee arthritis stages are classified from 0-4 with vggnet model
play-store
prathikshana
Config files for my GitHub profile.
supervised-classification-models
BANK -LOAN data is taken for supervised models comparison. Supervised models : logistic regression, adaboost, knn, svm, naive bayes. TIME SERIES DATA is taken for time series modelling.
unsupervised-clustering-models-ml
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