Machine Learning and Data Mining, Summer 2021-2022

How to learn data science and machine learning?

Programming. Learn Python.
Basic Statistics. Take a look at the amazing YouTube channel in the Maths section.
Databases. Learn SQL. Check out mode.com.
Exploratory Data Analysis. Learn how to work with NumPy, Pandas, Matplotlib, Seaborn.
Machine Learning. Learn the various algorithms. Explore Scikit learn.
Data scraping. Explore the Beautiful soup library.
Study the niches: deep learning, nlp (natural language processing), cv (computer vision).
Deployment. Explore Flask, Streamlit, Django.

Framework

Learn just enough.
Do a project. For example choose one from Kaggle.
Iterate.
Accountability. Show off your work on Github.

Most important APIs

Resources

Python

Markdown

Maths

Machine learning and Deep learning

Books

Most popular book on machine learning and deep learning

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Machine Learning From Scratch About Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose

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Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin

8.1k Jan 6, 2023

TorchIO is a Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.

Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.

1.6k Jan 6, 2023

Final project code: Implementing MAE with downscaled encoders and datasets, for ESE546 FA21 at University of Pennsylvania

546 Final Project: Masked Autoencoder Haoran Tang, Qirui Wu 1. Training To train the network, please run mae_pretraining.py. Please modify folder path

0 Apr 22, 2022

CS506-Spring2022 - Code and Slides for Boston University CS 506

CS 506 - Computational Tools for Data Science Code, slides, and notes for Boston

17 May 6, 2022

Reinforcement-learning - Repository of the class assignment questions for the course on reinforcement learning

DSE 314/614: Reinforcement Learning This repository containing reinforcement lea

4 Apr 15, 2022

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.

Algo-ScriptML Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The goal of this project is not t

81 Nov 26, 2022

This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Developed By Google!

Machine Learning Hand Detector This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Dev

3 Feb 25, 2022

A template repository for submitting a job to the Slurm Cluster installed at the DISI - University of Bologna

Cluster di HPC con GPU per esperimenti di calcolo (draft version 1.0) Per poter utilizzare il cluster il primo passo è abilitare l'account istituziona

20 Dec 16, 2022

Resources complimenting the Machine Learning Course led in the Faculty of mathematics and informatics part of Sofia University.

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Overview

Machine Learning and Data Mining, Summer 2021-2022

How to learn data science and machine learning?

Framework

Most important APIs

Resources

Python

Markdown

Maths

Machine learning and Deep learning

Books

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Final project code: Implementing MAE with downscaled encoders and datasets, for ESE546 FA21 at University of Pennsylvania

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