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Python15DayChallenge
Explore Pandas and Numpy in these 15 daysPython3DayChallenge
3 days of Python with 2 excercises to solve each day.Python6DayChallenge
6 Days of python exercises to know about its data typesHybrid_Recommender_System
Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. The dataset (ml-latest-small) describes 5-star rating and activity from [Movie Lens] (http://movielens.org), a movie recommendation service. It contains 100836 ratings across 9742 movies. These data were created by 610 users between March 29, 1996 and September 24, 2018. The dataset used was generated on September 26, 2018. This project is collectively made by Anjali Pal ,Niranjan Jena, Prakhar Gupta, Satyajit Kumar and Soumyabrata GhoshMoBot
Movie_Rec
Webpage for Movie Recommendation EnginePetrolPaper_webpage
Cheenta_DS_Projects
WatermarkingPDF
Anjali001
GreyCampus-DS4
ML_webpage
ML Algos webpageIris-dataset-Neural-Network
In this code, Neural networks have been used on iris data set .Anjali001.github.io
WebsiteWidhya_Missions
This repo contains Jupyter notebooks for all missions I completed during my internship.Imdb_dataset
IMDB dataset sentiment classificationPDF_Merger
Using this program you can merge any number of PDFs without worrying about the file sizeHackerN_WebScraping
First attempt to Web Scraping on website HackerNews.Convolutional-Neural-Network
Convolutional Neural Networks is a deep learning algorithm which can be made to understand imagesFlipAmzRes
Pageblog_webpage
Image_Converter
Scripting in python for converting jpg (or any other image format ) to gif (or other image formats)Information-Retrieval-Data-Mining
Information retrieval system that gives ranked results when a query is givenGRIP_Tasks
This repository contains tasks I did as a part of my 1 month internship at Sparks Foundation as a Data Science and Analytcis Intern.Love Open Source and this site? Check out how you can help us