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9mensmorris

9 Men's Morris Python Implementation

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

analysing-wine-reviews

archie

A minimal Hugo Theme (forked from athul/archie)

bankmarketingeda

Data Analysis of the UCI Bank Marketing dataset

booksbykeyword

Uses google APIs to display 10 most relevant books for a certain keyword, with their ratings and links.

breastcancereda

Exploratory Data Analysis of Breast Cancer Dataset

competitiveprogramming

:question: Tracking progress completing good programs, training for placements. (Contri.s welcomed)

countrycapitalguessgame

:checkered_flag: Guess the country's capital correctly to win (under development)

coursera_capstone

Repository for the Coursera Data Science capstone project

cropfacefromimage

:busts_in_silhouette: Tiny snippet that finds faces in images and saves them in a folder

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

df_overview

:zap: A pip package to give the user a quick overview of their dataset.

djangomusicapp

Learning Django by making a simple small music application

error101

📦 python package for seamless debugging on the go.

fashionmnist

:necktie: Training Neural Networks on a fashion dataset (similar to MNIST, more complex)

flask_sql_chat

Tracking progress of flask sql chat project

flaskdemo

Practicing Flask for API building

flasktodolist

:page_with_curl: To-do List Using Flask (under development)

geektrust_cricket

Simulating a cricket match where 40 runs are needed to win in 4 overs

graduation

$ git remote <graduation> yearbook

hornokplease

:bird: Flock: Vehicle To Vehicle Network

housepriceregression

Practicing Regression

indiandiabeteseda

Data Analysis of trends in pima Indian diabetes patients, predicting the probability of having diabetes from various factors.

irisexploration

:notebook: Visualization and training a basic ML model on the Iris dataset

langchain

⚡ Building applications with LLMs through composability ⚡

loandataeda

:blue_book: Detailed Exploratory Data Analysis of Lending Club Loan Data

localitysensitivehashing

Testing a Recommendation System Using Locality Sensitive Hashing

mnist-tutorial-keras-tf

:notebook: Making predictions from the MNIST dataset using TensorFlow and Keras

multiarmbanditexploration

Exploring the various MAB techniques and comparing performance