debadri3 Goto Github PK

20-newsgroups_text-classification

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

30_days_of_code

An attempt to learn general cs skills, and refine my web dev and ml knowledge.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

amazon-apparel-recommendation

A personal project for product similarity and image similarity based on text features and image features. Libraries involved: Scikit Learn, Numpy, Pandas, Scikit-learn, Matplotlib, NLTK, Beautiful Soup.

amazon-fine-food-reviews

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

benchmarks

Public dataset benchmarks used for measuring the performance of MindsDB.

cancer-diagnosis-package

cloud_haiku

Community-made poetry about infrastructure

cnn-electric-guitar-classification

Classifying models of electric guitar using MobileNet V2 architecture

cricketer-age-prediction

customer-segments-using-ml

Descriptive project segmenting customers of a wholesale retailer using GMM etc.

datasets

NLP datasets

debadri3

Config files for my GitHub profile.

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

diagnosis-package

e-commerce-website

face-recognition

Used PCA to classify face data obtained from LFW

gcp-data-engineering

Data Engineering with Google Cloud Platform, published by Packt

hacktoberfest

Fork and Create a Pull Request

hexagon

Hexagon is a microservices toolkit written in Kotlin. Its purpose is to ease the building of services (Web applications, APIs or queue consumers) that run inside a cloud platform.

k-means-movie-classifier

Clustering movie raters on the basis of their tastes alongwith identifying most rated movies and users.

microsoft-malware-prediction

Personal project for prediction of a software as a malware based on ASM and bytes file features. Libraries used: Scikit-learn, Matplotlib, Seaborn, Numpy, Pandas, etc

mindsdb

Predictive AI layer for existing databases.

mindsdb-docs

Official documentation website of MindsDB

ml-charity-project

Predicting possible donors in a charity project

ml-diagnosis-package

ml-project-1--titanic-survival

My take on Kaggle Competition Titanic Survival prediction using classification model.

netflix-recommendation-system

Personal project for prediction of movies based on user-user similarity and movie-movie similarity matrix. Libraries used: Surprise, Scikit-learn, Matplotlib, Seaborn, Numpy, Pandas, XGBoostetc

nocoderegressor

Your regression training app, without code