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amietutorialapp

angel_nest

Project code name: Angel Nest. :)

applozic-ios-sdk

iOS Real Time Chat & Messaging SDK

ci-cd-ml-for-demo

cleaning-and-merging-dataproject

Project for JHU Cleaning and Merging Data coursera

creditcardfrauddetection

A credit card fraud classifier using logistic regression, Naive Bayes and random forest classifier

cyrus

CyrusTheGreat Ios App

datasciencecoursera

datasharing

The Leek group guide to data sharing

demo_app

dsp

Metis Data Science Bootcamp - Official Prework Repository

finalproject-metis-kickstarter-predictor

A predictor for kickstarter campaign success evaluating both text and tabular data

first_app

project 1 for rails tutorial Mike Hartl 3

hadoopscalableanalytics

The open source tools in this repository have been designed for scalable analytics on a variety of data types using the Hadoop and Mapreduce environments

housingpredictormass

A predictor for houses in the Massachusetts area evaluating data from Zillow and using size of house , number of bed and baths.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kagglecompetition

laravel_blog

A blog demo in Laravel

logweb

Motivating tool for Students.

machine-learning-stanford

memorymanager

Data Structure Project using a hashtable, Heap and binary search tree

metis-project-3

Classifying type of governments for people to grow

metis-project-3-churn

Using Logistic regression to interprete churn data and figure out what sort of customers are leaving a telecommunications company.

metis-project1

Project 1 for Metis Data Science Bootcamp: Analysis for WomenTechWomenYes Annual Gala

metis-project2

Predicting NBA players salaries using linear regression and logistic regression.

metis_project_2_sportinjuries_teamsucess

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

moakagglecompetition

Repisotory for Kaggle Competiton: https://www.kaggle.com/c/lish-moa

omrails

Tis is the sample One Month Rails application

optimize_search