Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users to explore the data in this project was created using Streamlit. Written with python using jupyter notebook for the main project flow/analysis and visual studio code for writing custom functions and creating th…
Stress classifier with AutoML
Zero-True: A collaborative notebook built for data scientists
ipython notebooks from quantopian lectures series
The notebooks used for the Introduction to TensorFlow for AI, ML and DL course on Coursera by deeplearning.ai
eXtreme MultiLabel Classification tutorial notebook for Machine Learners (with video)
An Image Classifier web app built with Fastai and Pytorch using Transfer Learning. These notebooks contain the code from the medium blog articles from the series: A Fast Introduction to Fastai-My Experience.
Determines whether a specific user is wearing a face mask or not using a 2-factor approach written in Python with TensorFlow and OpenCV modules. Includes a Google Colab notebook tutorial and code for real-time detection using OpenCV.
This repository contains a compilation of my Python projects and notebooks focusing on Machine Learning and Deep Learning.
En este repositorio podrás encontrar los ficheros y notebooks que voy elaborando mientras curso el máster de data science en Kschool. Por norma general contendrán una breve introducción teórica, y una parte más práctica en las que se irá alternando texto y código.
Jupyter notebook for detecting malicious URLs
NLP notebooks
this notebook is about predicting the bank insurance, either the customer will take insurance or not.
a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy
Mlv Prasad - Kaggle NoteBooks ( 7 SILVER 13 BRONZE )
Various Machine Learning and Deep Learning Tutorial Notebooks in Blog Format