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99-ml-learning-projects

A list of 99 machine learning projects for anyone interested to learn from coding and building projects

adafruit_bme280_library

Arduino Library for BME280 sensors

ai-ml-july-2020

algo-scriptml

Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.

algorithmsanddatastructure

Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

btp-language-diarization

career-guidance-ml-project

Career Guidance System Using Machine Learning Techniques

cnn-implementation

communication-system

Assignments in Communication Systems

data

dataset

demo

devhack2019.github.io

Website for the hackathon

dsp-project-edge-detection-in-images

edl_covidms

emotion-detection-

Classify the emotion on a person's face into one of seven categories, using machine and deep learning techniques.

facial-emotion-recoginition-using-cnn-and-svm

I have worked on 2 different datasets CK+ and fer2013

git-webinar

Git webinar resources.

grip-data-science-internship-sparks-foundation

hackerrank-solutions

repository for the storage and display of solutions to various problems on HackerRank

hands_on_git

This repo is ment to help you lay your hands on github and practice the things you've learnt.

ieee-summer-school

image-processing-opencv

This repository is focused on having various feature implementation of OpenCV in Python. The aim is to have a minimal implementation of all OpenCV features together, under one roof.

imglab

To speedup and simplify image labeling/ annotation process with multiple supported formats.

jovian-py

Collaboration platform for data science projects & Jupyter notebooks

language-identification-in-a-code-switched-bilingual-data

letsupgrade-ai-ml-

Assignments

machine-learning-articles-and-lectures

I have written a series of Machine Learning and Data Science Lectures and articles based on learnings from a course. The lectures are written chronologically starting from introduction to covering all major topics. These lectures are worth reading especially if you are trying to brush up and revise these topics.