Kunal Lalwani's repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
CodingInterviews
This repository contains coding interviews that I have encountered in company interviews
AI-Residency-List
List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
all-about-ai-residency
AI residency programs information
asifsha.github.io
My personal website
awesome-ai-residency
List of AI Residency Programs
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.
deeplearning-models
A collection of various deep learning architectures, models, and tips
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
Learning_Machine_Learning
This repository contains notes and codes for machine learning algorithms
machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
MachineLearning
Machine learning projects
new-grads-2020
A collection of new grad roles for 2020
personal-coding
personal coding stuff
reverse-interview
Questions to ask the company during your interview
Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
visual-recognition-coffee-donuts
Use Watson Visual Recognition and Watson Studio to detect Coffee Mugs and Donuts
WWCodePython
Content, Code & Resources for WWCodePython Events