kunal-lalwani Goto Github PK

100dayofml-kunal

100daysofmlcode

On this repository I will be updating all the stuff that I do every day related to Machine Learning for the 100DaysofMLCode Challenge proposed by Siraj Raval.

ai-residency-list

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

all-about-ai-residency

AI residency programs information

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

asifsha.github.io

My personal website

awesome-ai-residency

List of AI Residency Programs

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

birthnamesanalysis

browndatathon2020

- Predicting Stability after COVID-19 How long will it take for the number of travelers from China to the USA to rebound back to pre-outbreak baseline travelers during the COVID-19 outbreak based on SARS outbreak analysis? The Problem The threat of a megavirus has been an impending source of fear for the global society. From the Bubonic Plague of the 1350s to diseases like SARS, the idea of mass sickness and death has loomed. Although our medical technology has come along way and is rapidly increasing, epidemics cause global anxiety, which is only exacerbated by the media. As we find ourselves in the midst of COVID-19, the coronavirus, we believe it is integral to contain fear with the inference of past results through science. By carefully studying a previous epidemic stemming from China, we have produced predictions to aid in comforting people during this time. Large scale fear also has economic implications. Many people hold onto their money instead of spending it when there is uncertainty about the future, which can lead to recessions in the economy. From the perspective of investors, it may keep a lot of business to be able to give clients an estimation of when the market will reach its original levels before the outbreak.

browndsdatathon2020

cheatsheets

citizenapplication

cnn-image-classifier

A Simple Deep Neural Network to classify images made with Keras

codejam

Codejam, apac, kickstart, I/O for Women... 2017, 2016, 2015, 2014... All solutions here!

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

competitivequestion

Question solved on various competitive sites :metal:

computationalgenomicsmanual

Robs manual for the computational genomics and bioinformatics class

data-mining-project

Analyzing Airline data to predict delays

data-structure-c-

datascience

datascienceinterview

Interview stuff for friends

deep_learning_lstm

Building a classifier model for the Multivariate Time Series data using LSTM in Keras

deeplearning

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

gaic-data-viz

Global Artificial Intelligence Conference: Data Visualization - From Square One to Interactivity