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mongodb-for-python-developers

MongoDB for Python developers course handouts from Talk Python Training

mongodb-php-tutorials

All files from the MongoDB PHP series from Youtube

mongodb-quickstart-course

Course demos and handout material for Talk Python's MongoDB Quickstart course

mongodb-tutorials

Files to work with my MongoDB series on Youtube

mongodb-users

A Node.js + MongoDB ❤️backend to any user heavy project you might have. Feel free to copy and reuse the code :)

monk_object_detection

A one-stop repository for low-code easily-installable object detection pipelines.

monkeyclassifier

Fine Grain Classification of Monkey Species (Kaggle)

moores-law

Visualizing Moore's law compared to actual transistor count like in https://www.youtube.com/watch?v=7uvUiq_jTLM&feature=youtu.be

mopidy

Mopidy is an extensible music server written in Python

motionia

Motionia is a lightweight simplified on demand animation library!

movie-app

react application deconstructed to Bit components, to be a shared-library https://bit.dev/bit/movie-app

movie-browser-app

React-redux + Firebase application to browse on movie database

movie-genre-prediction-deployment

movie-script-gen

movie-search-vue

Movie search app with the Vue 3 Composition API

movie_recommendation_engine

This repository contains the code for building movie recommendation engine.

movie_review_sentiment_analysis

moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

movieinfo-app

moviepy

Video editing with Python

mplcairo

A (new) cairo backend for Matplotlib.

mqtt_bot

msds692

MSAN692 Data Acquisition

mslearn-introduction-to-machine-learning

multi-label-classification-of-sentiment-of-yelp-reviews

This project is aimed to carry out sentiment analysis or multi label classification of reviews posted on Yelp into five sentiment labels which are strong negative, weak negative, neutral, weak positive and strong positive with the implementation of Loggistic REgression Model with Accuracy of 66.2 %

multi-sentiment

Multi-label sentiment analysis Kaggle competition

multiavatar

12 Billion Unique Multicultural Avatars

multiclasslightgbmwithfocalloss

Multiclass LigthGBM classifier with costumized focal loss

multiple_linear_regression

music-analysis

Trying to apply deep learning to music analysis