rajashrin Goto Github PK

10-steps-to-become-a-data-scientist

10 steps to Become a Data Science

100-days-of-ml-code

100 Days of ML Coding

advr

Advanced R

applied-text-mining-in-python

Applied Data Science with Python Specialization: Course 4 (University of Michigan)

beyond-leetcode-sql

Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.

clustering-using-spss

crackingthesqlinterview

"Cracking the SQL Interview" is a comprehensive guide for individuals who are preparing for a job interview related to SQL.

create-python

Challenge of module 2

credit

Analysis of credit data set

data-science--cheat-sheet

Cheat Sheets

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

data-science-interview-questions-and-answers-general-

Data Science Questions and Answers (General) for beginner

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-question-answer

A repo for data science related questions and answers

deneb-showcase

docappoint

docappointment

hospital-dashboard

Identifying KPI for hospitals.Improve services.

housing-price-prediction-using-r

Predict housing prices using R

interview-sql-challenge

Solving practice questions is the fastest way to learn any subject. That’s why I’ve selected a set of Challenges that I can use to step up my learning.

kpi-sample

This document presents how intuitive dashboards along with right KPI’s can accelerate the speed of and quality of decision making for health care providers.

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

lensdata

lensdata_1

market_research

This repository holds primary and secondary research conducted prior to launching a MOOC portal.Primary research focuses on collecting data about the competitors.Secondary research involves visualising data using Tableau and performing statistical data analysis on the data set to gain insights.Feature study of various portals are done to ensure that we have an edge over existing products.

marketing-for-engineers

A curated collection of marketing articles & tools to grow your product.

missing-data-handling

mxnet-gluoncv-aws-coursera

This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please :star2: the repo if you like it :point_up: Create an Issue or preferably a PR for any improvement. :rocket:

neural-network-in-r

Using Neural Network to predict the rating of the cereal based on other variables.

nltk3-cookbook

Code for NLTK3 Cookbook