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-sql-interview-mastery-50-leetcode-questions-for-top-tech-companies

Welcome to the ultimate SQL interview preparation repository for top tech companies like Google, Salesforce, Walmart, Metaverse, and Microsoft. This comprehensive study plan focuses on solving 50 essential SQL questions on LeetCode, providing you with the knowledge and practice needed to confidently tackle your SQL interview within just one month.

airfare_prediction

Machine Learning for Airfare Prediction

airfare_scraping

using selenium to scrape expedia and pandas to analyze data for lowest cost airfare and identifying price trends

anmolprojects

Web development

app-invitae

Invitae Coding Challenge

awesome-investing

💸💸 Curated list of investment & finance related resources

basel-problem-and-harmonic-distribution-python

Basel Problem and harmonic Distribution in R

biopython

Sequence Alignment and DNA Sequence random shuffling

box-mueller-method-acceptance-rejection-algorithm-binomial-distribution-

Box mueller Method , Acceptance Rejection Algorithm, Binomial Distribution implementation in python.

build-your-own-x

🤓 Build your own (insert technology here)

c-programs

c-programs-for-beginners

Simple C programs

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

content-cloud-validator-tool

Workday's Content Cloud validator tool

cracking-the-data-science-interview

Cracking the Data Science Interview

credit-card-fraud-detection-using-ann-in-r

Credit Card Fraud Detection using ANN in R

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

h2-to-mysql

A Python script to convert H2 into MySQL.

hackerrank

My HackerRank solutions

hackerrank-algo-implementation

This are the solutions to ALL "implementation" problems in the "algorithms" category at "https://www.hackerrank.com/"

hackerrank-problem-solving-python-solutions

Hackerrank Problem solving solutions in Python

hackerrank-sql-challenges-solutions

The solutions of all SQL hackerrank challenges using MySQL environment

interview

Everything you need to prepare for your technical interview

iot--dht11-readings-using-esp32-and-arduino

IoT- DHT11 readings using ESP32 and Arduino

iot_app_environmental_monitoring

IoT_App to monitor Environmental factors like Temperature, Humidity using dht11 sensor, GPS using ublox neo 6m gps sensor and pollutant measure using pmsa sensor.

iot_esp32-connection-to-university-eduroam-wifi

IoT_ESP32 connection to University Eduroam WiFi

java-programs

All beginners level java programs

java-programs-for-beginners

json

Create, Send, Transform JSON Data

locality-sensitive-hashing-using-jaccard-similarity

Java implementation for Minimum Hashing and LSH for finding near duplicates and false positives from documents as measured by Jaccard similarity. Locality-sensitive hashing (LSH) reduces the dimensionality of high-dimensional data. LSH hashes input items so that similar items map to the same “buckets” with high probability (the number of buckets being much smaller than the universe of possible input items). LSH differs from conventional and cryptographic hash functions because it aims to maximize the probability of a “collision” for similar items. Locality-sensitive hashing has much in common with data clustering and nearest neighbor search. Hashing-based approximate nearest neighbor search algorithms generally use one of two main categories of hashing methods: either data-independent methods, such as locality-sensitive hashing (LSH); or data-dependent methods, such as Locality-preserving hashing.