ujjwalbhatnagar Goto Github PK

a-simple-implementation-of-a-monte-carlo-call-option-pricer

analysis-on-weather-data

automated_system_to_estimate_the_annual_medical_expenditure

browserautomation

People use their browsers to access information and perform a wide variety of tasks. Browser automation tools can automate your Web browser to perform repetitive and error-prone tasks, such as filling out long HTML forms.

classification-mnist

computingmedianpriceofhouse

customer-review-using-hugging-face-transformers

cyclegan-implementation

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

hepml-livingreview

Living Review of Machine Learning for Particle Physics

house-prices---advanced-regression-techniques

tart here if... You have some experience with R or Python and machine learning basics. This is a perfect competition for data science students who have completed an online course in machine learning and are looking to expand their skill set before trying a featured competition. Competition Description Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home. Practice Skills Creative feature engineering Advanced regression techniques like random forest and gradient boosting Acknowledgments The Ames Housing dataset was compiled by Dean De Cock for use in data science education. It's an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston Housing dataset.

image-classification-using-resnet

imagecombiner

kalshi-python

The official API client library for kalshi.com.

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

kepler-exoplanet-search-results

https://www.kaggle.com/nasa/kepler-exoplanet-search-results

mammography-prediction

measuringzbosonmass

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml_blog

mlonmua

numpy-100

100 numpy exercises (with solutions)

personality-prediction-using-cv

simple.trading.bot

stable_diffusion

time-series-data-airpassengers

typicaltyper

Simple build a speed typing game in JavaScript

ujjwalbhatnagar

Config files for my GitHub profile.