2018-02-olympic-figure-skating-analysis

Data, code, and methodology supporting BuzzFeed News' analysis of figure skating scores at the 2018 Olympic Winter Games, published on February 23, 2018.

aicrowd_compition-multi-agent-behaviour-challenge-2022

Explore the fly tracking dataset and make your first submission with a simple PCA embedding.

applied_ai_course_notes

Applied Artificial intelligence Course from Online course Notes

ashleymavericks

:octocat: Config for my GitHub profile

bharatkammakatla

Github Dashboard

biodiversity

biomodelanalyzer

BioModelAnalyzer is a user-friendly tool for constructing biological models and verifying them

bostonhousepricing

capstone

Data Science Capstone

car

car_prediction

car_price_prediction

with help of random forest regression

certificate

churn_prediction

Telecom Customer Churn

cleaning-data-for-effective-data-science

Cleaning Data for Effective Data Science, published by Packt

compititions

consignment_pricing_prediction

Its an end to end data science project for fetching data from API to prediction using various ml model than showing output with help of flask API.

customer_segmentation_analysis

Context Customer data is defined as the information your customers provide while interacting with your business via your website, mobile applications, surveys, social media, marketing campaigns, and other online and offline avenues. Customer data is a cornerstone to a successful business strategy. Data-driven organizations realize the importance of this and take action to ensure that they collect the necessary customer data points that would enable them to improve customer experience and fine-tune business strategy over time. Content This Customer Segmentation Dataset is a Dummy Dataset, which is generated mainly to practice various types of Data Science/Machine Learning activities. The Dataset is specially targeted towards beginners and newbies for getting their hands dirty with data. Though, even experienced professionals will also enjoy this Dataset. The Dataset consists of 51000 Customer records. The Dataset contains information like: First Name, Last Name, Title, Gender, E-mail, City, Country, Country Code, Latitude, Longitude, Phone, Street Address, Street Name, Street Number, Street Suffix, Time Zone, Company Name, Department, Job Title, Language, University, Linkedin Skill, IP Address. Acknowledgements For more, please visit - https://www.mockaroo.com/

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

data-structures-and-algorithms

Data Structures and Algorithms in Python

data-wrangling-components

Processing engine and React components for constructing configuration-based data transformation and processing pipelines.

data_science_for_biologists_2019

Lab materials for the University of Washington course Data Science for Biologists (Winter 2019, BIO419/519)

deep_and_machine_learning_projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

deeplearning

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deploying-a-static-site-with-netlify-sample

deploying-backend-with-heroku-sample

docs

The open-source repo for docs.github.com

eda-on-credit-card-anslysis

Perform exploratory data analysis and provide key insights derived from the same backed with suitable graphs and plots.

educative-courses

A collection of courses, scraped from the website Educative (educative.io). Feel free to use!