komalpopli Goto Github PK

angular-ivy-i66wxb

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awesome-deep-vision

A curated list of deep learning resources for computer vision

bigmart-sales-prediction

booklistingapp

Using Google Books Api, This app lists top ten books name with their authors on screen

csr

data-science--cheat-sheet

Cheat Sheets

data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

data-science-projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

deep-learning-books

deep-learning-resources

Online courses and books I use for ML & CV, Math, CompSci and others

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

firebase-hackathon-app

flume-s3-sink

hackerearth-deep-learning-challenge

The task is to build a deep learning model that can help classify the images into eight categories of Indian classical dance. Using Transfer learning is key to ensure the breakthrough of deep learning techniques in a large number of small-data settings. Getting an Accuracy of 79% using the Vgg16 model and 70% using the Alexnet model.

hands-on-nltk-tutorial

The hands-on NLTK tutorial for NLP in Python

komalpopli.github.io

leetcode-solutions

leetcode_company_wise_questions

This is a repository containing the list of company wise questions available on leetcode premium

myapp

myapp3

onefourthlabs_padhaidlcourse

My works from the deep learning course from Padhai OneFourthLabs

python_assessment_solution

Solution of assessment/ interview for python

quaker_app

earthquake report app

restaurant-business-rankings-2020

The data can be used to tell the story of what 2020 was like for restaurants, what was hot, what could be more popular soon, or what the difference is between large companies and smaller businesses

restaurantfinder

A description of nearby places from my current location

statistical-analysis

statistical tests with various datasets

todo

ToDo list app

twitter-sentimental-analysis

Sentimental Analysis of twitter data in R using twitteR