P-M-Balaji

P-M-Balaji's Stars

• DopplerHQ/awesome-interview-questions

  :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

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• anuraghazra/github-readme-stats

  :zap: Dynamically generated stats for your github readmes

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• ayush714/data-science-roadmap

  Roadmap for Data Science

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• codebasics/DataAnalysisProjects

  This contains data analysis projects

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• mstaniak/autoEDA-resources

  A list of software and papers related to automatic and fast Exploratory Data Analysis

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• techwithtim/5-Python-Projects-For-Beginners

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• techwithtim/3-Python-Automation-Projects

  3 Python Automation Projects for Beginners!

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• techwithtim/Beautiful-Soup-Tutorial

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• techwithtim/Flask-Blog-Tutorial

  A blog application in python using Flask.

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• techwithtim/Django-Website

  A very minimal website I build while learning Django.

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• techwithtim/Flask-App-Hosted-On-VPS

  Files needed to host a flask application on a linux VPS.

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• techwithtim/Go-API-Tutorial

  Create an API in Go using the Gin framework.

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• techwithtim/MongoDB-Tutorial

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• techwithtim/Python-Scripting-Project

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• techwithtim/pizzapi

  A Python wrapper for the Dominos Pizza API forked from @Magicjarvis.

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• rohanpatankar926/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

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• techwithtim/django-user-manegement

  Demonstration of how to manage users in django with roles, permissions and more!

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• techwithtim/Passage-React-Flask-Auth

  Full biometric authentication using Flask, React and Passage!

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• rohanpatankar926/Consignment-Pricing-Using-Mlops-DVC

  Consignment pricing prediction using mlops

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• jmportilla/data-science-course

  Data Science Course Materials - Fall 2014

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• jmportilla/machinelearninginaction

  Source Code for the book: Machine Learning in Action published by Manning

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• jmportilla/spark-notebook-examples

  Some notebook examples related to Apache Spark

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• rohanpatankar926/data-engineering-bootcamp

  This is the forked repo where iam learning data engineering stuffs for building data pipelines,dockerizing applications,batch streaming ,pyspark for big data,and much more

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• rohanpatankar926/flask_app

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• rohanpatankar926/iNeuron-Assignments

  This repository contains all the assignments given by iNeuron start date-2/16/2022

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• rohanpatankar926/mlflow-introduction

  docs for mlflow introduction

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• rohanpatankar926/mlops-application

  Welcome to Machine Learning Housing Corporation! The first task you are asked to perform is to build a model of housing prices in California using the California cen‐ sus data. This data has metrics such as the population, median income, median hous‐ ing price, and so on for each block group in California. Block groups are the smallest geographical unit for which the US Census Bureau publishes sample data (a block group typically has a population of 600 to 3,000 people). We will just call them “dis‐ tricts” for short. Your model should learn from this data and be able to predict the median housing price in any district, given all the other metrics.

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• rohanpatankar926/mlops_project

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• rohanpatankar926/sql-masterclass

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• rohanpatankar926/Time-series-forecasting-from-scratch

  This repository contains live time series forecasts which can be implemented in real world scenarios and also this repo is assignment repo for iNeuron

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