A simple classifier made to distinguish genders based on three features like height, weight and shoe size using scikit
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Updated
Oct 13, 2016 - Python
A simple classifier made to distinguish genders based on three features like height, weight and shoe size using scikit
Microservice of growth curve, height, weight, EMC and cephalic perimeter for children with Down Syndrome
A procedure for transporting Fitbit body scale data into the Withings Health Mate software.
Save custom Weight Paint color ramps as presets
Python package to extract measurements information from strings
This is an weight conversion app that takes weight in kg's and convert it into gram, pound, and ounces with GUI.
A mini program where a user enters their weight(kg) and height(m) and it automatically calculates their body mass index. Thereafter it determines whether they are underweight, normal weight, overweight or obese.
A wooden birdbox with some extra gadgets courtesy of the Raspberry Pi
Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Programming and Scripting (COMP08049)
Numpy neural network classifying japanese characters. Weights animations along the way.
ZBEARs_Weight_Resetter_v_01_08
Categorize weight as normal, below average, or above average based on criteria for females (0-50 kg thin, 51-70 kg normal, 71-100 kg heavy, >100 kg obese) and males (0-60 kg thin, 61-80 kg normal, 81-100 kg heavy, >110 kg obese) by inputting sex and weight. Program uses if-else statements to determine appropriate category.
Neural Network using NumPy, V1: Built from scratch. V2: Optimised with hyperparameter search.
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