This is a repo of basic Machine Learning!

Last update: Dec 31, 2022

Related tags

Deep Learning python nlp data-science machine-learning natural-language-processing deep-learning neural-network tensorflow keras pandas seaborn embeddings artificial-intelligence lstm ann blstm bert-model bert-embe

Overview

Basic Machine Learning

This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources.

Contents

Introduction
Interview Resources
Artificial Intelligence
Genetic Algorithms
Statistics
Useful Blogs
Resources on Quora
Resources on Kaggle
Cheat Sheets
Classification
Linear Regression
Logistic Regression
Model Validation using Resampling
- Cross Validation
- Bootstraping
Deep Learning
- Frameworks
- Feed Forward Networks
- Recurrent Neural Nets, LSTM, GRU
- Restricted Boltzmann Machine, DBNs
- Autoencoders
- Convolutional Neural Nets
- Graph Representation Learning
Natural Language Processing
- Topic Modeling, LDA
- Word2Vec
Computer Vision
Support Vector Machine
Reinforcement Learning
Decision Trees
Random Forest / Bagging
Boosting
Ensembles
Stacking Models
VC Dimension
Bayesian Machine Learning
Semi Supervised Learning
Optimizations
Other Useful Tutorials

Introduction

Machine Learning Course by Andrew Ng (Stanford University)

Contributing

Have anything in mind that you think is awesome and would fit in this list? Feel free to send me a pull request!

Our valuable Contributors 👩‍💻 👨‍💻 :

Owner

Ekram Asif

Undergraduate CS Student at Premier University Chittagong.

Ekram Asif

GitHub Repository https://nbviewer.org/github/ekramasif/Basic-Machine-Learning/tree/main/

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