sariq16 Goto Github PK

boombikes

census-income

This is a part of HarvardX PH125.9x Data Science: Capstone course as a Final Project. In this project we will build a model that will predict if the income of any individual in the US is greater than or less than USD 50,000 based on the data available about that individual.

course

deployment-flask-heroku

elyra-pipeline

A repository of examples for Elyra (https://github.com/elyra-ai/elyra)

expresslane_webscrapper

he script is the solution for the problem statement provided in the final technical round of MapUp hiring process.

first-contributions

🚀✨ Help beginners to contribute to open source projects

fraud_detection

Building Machine Learning Model for Identifying Fraud Detection

freqtrade

Free, open source crypto trading bot

info_extraction

This Python script helps to extracted key information from an invoice which is in a form of a text file and create a structured output in the form of excel file.

infosys-trend-following

The following python script performs the statistical analysis of Infosys stock from the National Stock Exchange (NSE) of India. By running the script we can get a better decision understanding while taking entry/exit from a stock.

interview-question-data-science--master

THANKS KRISH NAIK

knowledge-graph

lending-club-case-study

movielens

This project is a part of HarvardX PH125.9x Data Science: Capstone course. For this project, I will be creating a movie recommendation system using the MovieLens dataset to demonstrate all the skills acquired throughout the courses in the course series. The task is to train a machine learning algorithm using the inputs in one subset to predict movie ratings in the validation set. For this project the MovieLens Data set is collected by GroupLens Research and can be found in GroupLens web link (https://grouplens.org/datasets/ movielens/latest/).

naive-bayes

the-grand-complete-data-science-materials

Complete Data Science Interview preparation material