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100-days-of-ml-code

A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.

academic_paper

advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

alpha_vantage

A python wrapper for Alpha Vantage API for financial data.

anz_eda

auto-keras-imageclassifier-tutorial

This repo is intended to serve as a reference for using Auto-Keras for your personal image dataset

auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

autodrive

A small implementation that mimics Tesla's autopilot for Full Self Driving.

car-price-prediction

chronic-kidney-disease

ckd

covid_xray_dataset_classification

cpi

cse202

cse326_project

cse326_project-1

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

data-analysis

Data Science Using Python

data-science-in-real-estate

Algorithm to determine Median Housing Price

data-science-with-python

This repo has all the required materials of the Data science with python video series.

datagotham2013

deployment-flask

diabetesneuralnetwork

A neural network using Keras that classifies risk for diabetes based on health data.

exploratory_data_analysis

extending-google-bert-as-question-and-answering-model-and-chatbot

BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be able to answer well from understanding more than 10 pages of data. We can extend the BERT question and answer model to work as chatbot on large text. To accomplish the understanding of more than 10 pages of data, here we have used a specific approach of picking the data.

faceid

An implementation of YOLO v2 for direct facial recognition within detection layer.

filesaver.js

An HTML5 saveAs() FileSaver implementation

first-contributions

🚀✨ Help beginners to contribute to open source projects

flaskintroduction

Repo for my tutorial on freeCodeCamp.org

ga-hyperparam-tuning

Find optimal hyper-parameters for Neural Networks using Genetic Algorithms