amitranjan02 Goto Github PK

affirm-take-home-test

box-plots-sklearn

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

chooseyourown

Choose Your Own Project for edX Data Science: Capstone

course-resources-ml-with-experts-budgets

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

craft-beers-dataset

Craft Beers & Data Science - Data Analysis of a Craft Beer Dataset

cv-compare

Use **AI** to Compare the CV to the job description to beat the ATS (Applicant tracking systems) in order to higher your chances to get the job

data-engineering-on-gcp-cheatsheet

data-science--cheat-sheet

Cheat Sheets

ds-hr-helper

Web scraper & HR resume analytics in simple Python script.

harvard-datascience_projects

Harvard Data Science Projects

learning-from-imbalanced-classes

Learning From Imbalanced Classes

linear-regression

Final grade prediction (Kaggle challenge : https://www.kaggle.com/uciml/student-alcohol-consumption)

mycertificates

myprojects

ph125.9x-data-science-capstone

PH125.9x Data Science: Capstone

ph125.9x-data-science-capstone-selfproject

professional-certificate-program-in-datascience-berkeley

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

resume-categorizer

resume categorizing tool

resume-rater

Rates the quality of a candidate based on his/her resume using unsupervised approaches

resume-scanner

A machine learning model to detect how much a resume matches to the associated job description

resume_tailor

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

resumeanalyzer

A beta-version of a resume analyzer based on an overfit LDA model

resumefilter

Extracting relevant information from resume using deep learning.

resumeshortlister

A handy tool to short-list resumes based on their scores.

rprojectdata

stock_prediction_algorithms

#02.Introduction The purpose of this project is to analyze 3 different algorithms for the financial forecasting of Daimler share. Disclaimer I am working on Advanced Analytics of Daimler AG. This analysis is for educational purposes and not for financial advising. #03.Methodology We will use Daimler historical share market datasets (from 2010). For forecasting future values. On those nature of forecasting we assume that some patterns of our sets have carriage on future short linear interims. The same approach is applied on the weather forecasting.

twittersourceexamplestreaming