prasanjit15

prasanjit15's Stars

• MunGell/awesome-for-beginners

  A list of awesome beginners-friendly projects.

  69.5k1.3k1687k

• ColorlibHQ/AdminLTE

  AdminLTE - Free admin dashboard template based on Bootstrap 5

  Language:Astro44.1k2k2.9k18.2k

• hasura/graphql-engine

  Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.

  Language:TypeScript31.2k3266.3k2.8k

• sql-machine-learning/sqlflow

  Brings SQL and AI together.

  Language:Go5.1k1681k701

• yanshengjia/ml-road

  Machine Learning Resources, Practice and Research

  Language:Python3.5k14411.3k

• fossasia/badgemagic-android

  Badge Magic with LEDs - Android App https://play.google.com/apps/testing/org.fossasia.badgemagic

  Language:Dart1.9k12391206

• fossasia/labs.fossasia.org

  Projects Website for FOSSASIA http://labs.fossasia.org

  Language:CSS1.7k49276247

• scripthookvdotnet/scripthookvdotnet

  An ASI plugin for Grand Theft Auto V, which allows running scripts written in any .NET language on the .NET Framework runtime in-game.

  Language:C#1.2k102752631

• georgearun/Data-Science--Cheat-Sheet

  Cheat Sheets

  8022908.7k

• MAFINS/MenyooSP

  [or Menyoo PC] - Trainer/mod menu for Grand Theft Auto V (single-player).

  Language:C++78663466496

• workattech/get-a-software-engineering-job

  Get a Software Engineering Job - Ultimate Guide

  46510062

• XD-DENG/Spark-practice

  Apache Spark (PySpark) Practice on Real Data

  Language:Jupyter Notebook272203137

• coding-blocks-archives/cplusplus-datastructures-algorithms-coding-blocks

  Coding Blocks | Data Structures & Algorithms Online Track

  Language:C++245152156

• vinitshahdeo/Hacktoberfest2020

  List of beginner-friendly | first-timers-only | up-for-grabs issues (repositories) for Hacktoberfest 2020 | Submit 4 PRs to earn a T-shirt

  24421473

• SergeyShk/DataCamp-Projects

  Notebooks of Datacamp projects

  Language:Jupyter Notebook24030133

• srivatsan88/Mastering-Apache-Spark

  This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel

  Language:Jupyter Notebook18891161

• manishbisht/Udacity

  :loop: :bulb: My Udacity projects that I have made to improve my skills and complete my nanodegree. Please don't use it to copy the projects. Submit the PR if you want something to be added to this repository.

  Language:JavaScript14310188

• amydaali/Machine-Learning-Projects

  Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM

  Language:Jupyter Notebook1363045

• ItsWendell/google-assistant-desktop-client

  A Cross-Platform client for Google Assistant, written in NodeJS / Electron.

  Language:JavaScript136161721

• Phreshhh/PhreshPlayer

  Electron based media player app.

  Language:JavaScript803723

• Madonahs/Nano-Degree-Projects

  🎓 Udacity Nano Degree Android Projects. All Needed projects you can check out my work here. Submitted and accepted projects.

  Language:Java683024

• MarkCLewis/BigDataAnalyticswithSpark

  Code for my videos on big data analytics with Apache Spark using Scala.

  Language:Scala629259

• poonamvligade/Apache-Spark-Projects

  Language:Scala366074

• RajenDharmendra/SparkQA

  Apache Spark Interview Question and Answers

  212013

• rmcnew/Pneumonia_Classifier

  Machine Learning Image Classification of Pediatric Chest X-Rays to Detect Pneumonia

  Language:Jupyter Notebook6202

• KevinDCruz/Model-Comparison-for-Heart-Disease-Prediction

  Evaluated and Compared Machine Learning models: Decision Trees (Bagging, Boosting and Random Forest), Neural Networks and Logistic Regression on multiple datasets to find the best fit. Metrics evaluated: Accuracy, Misclassification error, Cross Validation, ROC Curves and Pruning (R (Cleveland, Statlog, SPECT Datasets: UCI Repository), Excel, RStudio)

  Language:R54

• zaratsian/Apache_Hive

  Apache Hive (SQL on Hadoop) Syntax, Cheatsheet, and Projects

  Language:Python53012

• Calainho/Heart_Disease_Prediction

  In this work, I used data from the UCI Machine Learning repository to train both SVM and XG-Boost algorithms to predict heart disease.

  Language:R2

• codepradosh/Parkinsonia.Tech

  Language:Jupyter Notebook2201

• jadhavaniket/InterViewAttendance_PySpark

  Use of MlLib from PySpark to solve the problem of interview attendance for companies

  Language:HTML11