Pinned Repositories
airbnbanalysis
Data Analysis on Airbnb for 6 cities- NY, Washington DC, Chicago, San Francisco, Boston, and Los Angeles.
algorithms
This repositories will contain algorithms programmes.
apurvashekhar
big_data
coursera-python
Completed the 5- course Python specialisation course by University of Michigan (via Coursera).
Fall2020_Deep_Learning_CourseWork
hackerrank
leetcode
Solution of SQL questions in Leetcode
master_sql_for_data_science_udemy
Wrote complex sql queries using subqueries, correlated subqueries, window functions. This repository contains assignments as well as mini assignments given during the lectures.
UC_Berkely_X442.3
Python programming
apurvashekhar's Repositories
apurvashekhar/airbnbanalysis
Data Analysis on Airbnb for 6 cities- NY, Washington DC, Chicago, San Francisco, Boston, and Los Angeles.
apurvashekhar/master_sql_for_data_science_udemy
Wrote complex sql queries using subqueries, correlated subqueries, window functions. This repository contains assignments as well as mini assignments given during the lectures.
apurvashekhar/us_unemployment_time_series
The purpose of this report is to identify the most appropriate model to forecast future unemployment rate in the US using the historical data. We present an in-depth study of the forecasts for the monthly U.S. unemployment rate using various time series models and comparing them to further our understanding of the strengths and deficiencies of these methods.
apurvashekhar/algorithms
This repositories will contain algorithms programmes.
apurvashekhar/apurvashekhar
apurvashekhar/big_data
apurvashekhar/coursera-python
Completed the 5- course Python specialisation course by University of Michigan (via Coursera).
apurvashekhar/Fall2020_Deep_Learning_CourseWork
apurvashekhar/hackerrank
apurvashekhar/leetcode
Solution of SQL questions in Leetcode
apurvashekhar/UC_Berkely_X442.3
Python programming
apurvashekhar/kaggle_survey_2019_analysis
Kaggle Survey Analysis 2019
apurvashekhar/neural_machine_translator
Transformer NN architecture was introduced by Google in 2017 in their paper ‘Attention is all you need’. Transformers try to solve the problem of parallelization by using a concept called ‘Attention’. In this repo you'll find transformers being used to speed up sequence to sequence models to translate English to French and Spanish.
apurvashekhar/Spoon-Knife
This repo is for demonstration purposes only.
apurvashekhar/sql_ucdavis
apurvashekhar/US_accident_analysis
This is a countrywide car accident dataset, which covers 49 states of the USA. The accident data are collected from February 2016 to June 2020. An interesting analysis on the trends of these accidents.
apurvashekhar/your_first_code
A very simple snippet of C code, for Holberton School's admissions.