Anjali001
A data science enthusiast who believes that the power of data will revolutionize the world
Hastings DirectLondon
Pinned Repositories
Anjali001
Anjali001.github.io
Website
GreyCampus-DS4
Hybrid_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 Ghosh
Information-Retrieval-Data-Mining
Information retrieval system that gives ranked results when a query is given
Python15DayChallenge
Explore Pandas and Numpy in these 15 days
Python3DayChallenge
3 days of Python with 2 excercises to solve each day.
Python6DayChallenge
6 Days of python exercises to know about its data types
Text_Summarisation_SNLP
This research is produced as a part of coursework for Statistical Natural Language Processing
XOR-Scratch
Back propagation- XOR-From Scratch- No ML Library
Anjali001's Repositories
Anjali001/Python15DayChallenge
Explore Pandas and Numpy in these 15 days
Anjali001/Python3DayChallenge
3 days of Python with 2 excercises to solve each day.
Anjali001/Python6DayChallenge
6 Days of python exercises to know about its data types
Anjali001/Hybrid_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 Ghosh
Anjali001/Anjali001
Anjali001/Anjali001.github.io
Website
Anjali001/blog_webpage
Anjali001/Cheenta_DS_Projects
Anjali001/companies-on-blm
https://diversitycorp.github.io/companies-on-blm/
Anjali001/DS-Olympus-
This repo will serve as the main file for project "DS Olympus".
Anjali001/FlipAmzRes
Page
Anjali001/GreyCampus-DS4
Anjali001/GRIP_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.
Anjali001/Information-Retrieval-Data-Mining
Information retrieval system that gives ranked results when a query is given
Anjali001/ML_webpage
ML Algos webpage
Anjali001/MoBot
Anjali001/Movie_Rec
Webpage for Movie Recommendation Engine
Anjali001/onestep-electron-content
Content for onestep-electron.github.io
Anjali001/PetrolPaper_webpage
Anjali001/Soomvaar
Soomvaar is the repo which 🏩 contains different collection of 👨💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥
Anjali001/Widhya_Missions
This repo contains Jupyter notebooks for all missions I completed during my internship.
Anjali001/Text_Summarisation_SNLP
This research is produced as a part of coursework for Statistical Natural Language Processing
Anjali001/COMP0090
UCL Module: Introduction to Deep Learning
Anjali001/labs
Lab exercises for COMP0088 Introduction to Machine Learning
Anjali001/ML-Tutorials-Season-2
Materials for UCL Artificial Intelligence Society Machine Learning Tutorials Season 2 (2021/2022)
Anjali001/Omdena-Nigeria-Local-Chapter-2021
Omdena-Nigeria-Local-Chapter-2021
Anjali001/py-stellar-base
Stellar client library for the Python language
Anjali001/Reinforcement-Learning
Anjali001/snlp_webpage
Anjali001/taxi-trip-hackathon