oumkale/monsterweb

Stars
1
Language
JavaScript
Created over 4 years ago
Updated almost 2 years ago

oumkale/monsterweb

oumkale

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Udemy Course

k8sOperator

oumkale

Investigate-a-Dataset-of-No-show-Appointments

Dataset collected information from 100k medical appointments and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. ●My study emphasized the need for more research for a better understanding of the problem. I made recommendations for prompting patients about their upcoming appointments, helping patients get transportation to healthcare facilities and making efforts to ensure better communication between the patients and the healthcare providers to understand the complex interplay between personal, systemic and financial(Scholarships) barriers in completing appointments.

Jupyter Notebook

mayadatahackathon

Repute

WebDev

Here are some practice codings during konnecxions .

CareerChela

Program_cpp

Programming solved at CodeChef CodeForces

JP-Morgan-Chase-co-Intern

Assignment

DictionaryMayadata

WordPopulation_data

Explore-US-Bikeshare-Data

Python script code to import US bike share data computing descriptive statistics.

Geeks-For-Geeks-Work

Titanic_Dataset

React-Google-Analytics-Dashboard

React Google Analytics Dashboard

test-python

Litmus-Analytics-Images-for-Blog

e2e-test.github.io

AI-Debating-System

Jupyter Notebook

project

Web Application

Complete-Critical-Path-Managment

A complete Program using C++ code for Finding critical path, slack times, ES, EF, LS, LF, Predecessor matrix, Successor matrix and so all.... Graph algo is also ready but will update soon.

notes

Test-a-Perceptual-Phenomenon-of-Stroop-effect

In this project, I investigated a classic phenomenon from experimental psychology called the Stroop Effect. little bit about the experiment, create a hypothesis regarding the outcome of the task, then go through the task yourself. Look at some data collected from others who have performed the same task and will compute some statistics describing the results. I have interpreted results in terms of your hypotheses.

Jupyter Notebook

Model-Evaluation-and-Validation

The Boston housing market is highly competitive, and I want to be the best real estate agent in the area. To compete with my peers, I decide to leverage a few basic machine learning concepts to assist me and a client with finding the best selling price for their home. Luckily, I have come across the Boston Housing dataset which contains aggregated data on various features for houses in Greater Boston communities, including the median value of homes for each of those areas. My task is to build an optimal model based on statistical analysis with the tools available. This model will then be used to estimate the best selling price for your clients' homes.

Jupyter Notebook