mcabanlit Goto Github PK

car-booking-pywebio

Car booking app that has three user types: admin, driver, and passenger implemented with the help of PyWebIO

checkpoints-analysis

This repository contains two main documents, that analyzes checkpoints implementation in sk-learn's Random Forest and as well as in TensorFlow.

django-markdown-editor

Awesome Django Markdown Editor, supported for Bootstrap & Semantic-UI

drug-store-chain

The task is to forecast the "Sales" column. The goal of this project would be (1) to create a model that would forecast the sales by using specific fields and (2) to create and deploy an API that can serve prediction by receiving a JSON file via POST.

environmental-hero

A collection of some environmental projects I had. This collection is more on environmental research focusing on geographic information systems.

heart-disease

This web app uses Random Forest classifier to try and predict if a user has heart disease. Using PyWebIO, we created an interface that can allow users to input their feature values and produce predictions real-time.

linear-regression

From the heart-disease dataset, we tried creating a sample linear regression model using two of the features provided from the dataset.

ml-training

This repository is a collection of notebooks that analyzes thousand datasets on heart-disease in order to try and predict if a user has heart disease.

movie-recommender

odette-reforestation

Analysis of possible reforestation sites for areas affected by Typhoon Odette using the vulnerability assessment framework with indicators tailored for the adaptive capacity of our forests.

price-prediction

We are going to implement a machine learning project with the goal of predicting the sale price of bulldozers.Price prediction

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

vehicle-tracking

Vehicle tracking code from youtube tutorial optimized with a few image classification changes

world-development-indicators

This repository performs an exploratory data analysis for the three world development indicators, namely: Access to electricity, Hospital beds and Gross Domestic Product. The data was retrieved from: DataBankWorld Development Indicators.

yolo-v1-from-scratch

The architecture for this implementation was based on the paper by Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi entitled: You Only Look Once:Unified, Real-Time Object Detection.