Sai Raghavendra (Sairaghav1999)

Sairaghav1999

Geek Repo

Location:Boston, Massachusetts

Home Page:sairaghav1999.github.io

Twitter:@psychronicles

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Sai Raghavendra's starred repositories

data-science-interviews

Data science interview questions and answers

Language:HTMLLicense:CC-BY-4.0Stargazers:8584Issues:225Issues:16

awesome-data-engineering

A curated list of data engineering tools for software developers

data-science-question-answer

A repo for data science related questions and answers

Language:Jupyter NotebookLicense:MITStargazers:2409Issues:88Issues:1

analytics-handbook

Getting started with soccer analytics

Language:Jupyter NotebookLicense:MITStargazers:1464Issues:101Issues:4

Beyond-LeetCode-SQL

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

Language:Jupyter NotebookLicense:MITStargazers:1056Issues:13Issues:2

data-engineering-interview-questions

More than 2000+ Data engineer interview questions.

notebooker

Productionise & schedule your Jupyter Notebooks as easily as you wrote them.

Language:PythonLicense:AGPL-3.0Stargazers:851Issues:22Issues:66

SQL-Leetcode-Challenge

Contains all the 117 Leetcode questions with their solutions ranging from Easy to Hard in MySQL.

CrackingTheSQLInterview

DBMS Concepts, SQL Queries & Schema Design for your Interviews.

streamify

A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

Best-Data-Science-Resources

This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.

Language:Jupyter NotebookLicense:MITStargazers:483Issues:13Issues:0

SQL-interview-questions

List of Top 500 SQL Interview Questions & Answers with queries and more

hackathon-toolkit

GCP Hackathon Toolkit

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mplsoccer

Football pitch plotting library for matplotlib

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SQL

sql related stuff, interview questions, mySQL complex queries

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youtube-videos

Code used in YouTube Videos

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RNN-music-recommender

sequential content-based recommendation system

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Fraud-Detection-in-Online-Transactions

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:66Issues:1Issues:0

DataVizTutorial

A tutorial on how to make dashboards using matplotlib using data from Fbref and Understat

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bank-card-fraud-detection-using-machine-learning

Bank card fraud detection using machine learning. Web application using Streamlit framework

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DataScienceInterview30DayChallenge

This is list off 30 days of interview question and answer

Football-Analytics

Visualizations and predictive analytics which uses statsbomb and other data sources to visualize metrics like shot location, through ball pass, passmap, heatmap of a player, xG of a shoot etc.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:9Issues:1Issues:2

Datascience-Useful-PDF

Useful PDF Related to Python,Stats,ML,Deep Learning and interview questions

Bank-marketing-campaign-Application-of-machine-learning-in-python-to-boost-marketing-campaign-ROI

Machine learning techniques to identify customers with high response rate to increase marketing campaign ROI

Language:Jupyter NotebookStargazers:4Issues:1Issues:0

Covid_Search_Trends_by_State

ETL, visualization, and machine-learning analysis of google search trend data on Covid-19 vaccine search trends by state and political party.

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H1B-AnaLysis

this is an analysis of h1b data which is very large i use pandas to analysis that data

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H1BDataAnalysis

This is a school project I have done for the course 95885 Data Science and Big Data at CMU. This notebook includes discovering potential factors that affect H1-B visa applications. and provides a machine learning model to classify visa status automatically.

Language:Jupyter NotebookStargazers:1Issues:1Issues:0

rajatdiptabiswas

đź’« GitHub README