This repository contains only the links to the helpfull articles.
- Decorator comprehensive guide
- A very friendly guide for understanding the decorators from scratch to advance level with examples & usecases.
- Fast.ai
- Website offering courses in Deep learning, Artificial Intelligence and cloud computing.
- MIT Courses
- Excellent resource where lectures of MIT on Machine learning, Deep learning and Re-enforcement learning are placed.
- Selenium chromedriver on ubuntu
- Requests Beyond the basics
- Comprehensive guide for advanced requests. Resuming downloads or incomplete binary files and how to show the progress bar
- Pandas Data Selection & Other Features
- Medium blog posts collections explaining advanced ways of selecting data using pandas and other advanced features and challenges to learn pandas.
- Pandas for large data
- It a very good post talking about efficiently working with large dataset using pandas in a memory effiecient way. Shows some tricks to do stuff parallel in pandas and shows examples.
- Setting up Jupyter notebook on remote server
- A very simple and friendly post for setting up jupyter notebook on remote servers, and using it from local computers.
- DBPedia Structured Information from Wikipedia
- The DBpedia community uses a flexible and extensible framework to extract different kinds of structured information from Wikipedia.
- The Big Bad NLP Database with 600 Datasets
- Principle Component Analysis Explaination
- Explains the working of PCA in a way that you can explain to your grandma! Give some visual understanding of the concept also.
- Generative vs Discriminative Models
- Understanding Latent Space in Machine Learning
- Aricle explaining what the latent space is, and why it is used.
- Approximate Nearest Neighbors (ANN) Algorithms
- This blog post comprehensively discusses some of the important ANN Algorithms and their pros and cons.
- Gradient descent optimzation algorithms
- It discusses the various algorithms for gradient descent optimization.
- Understanding Emotions -- from Keras to pyTorch
- A very indepth blog post for related to implementation of LSTMs and Attention models.
- Word Embeddings from Scratch
- Implimentation of word embeddings from scratch using python and numpy for better understanding.
- Word Embeddings and Glove Embeddings
- An Intuitive and mathematical understanding of glove embeddings.
- NLP colab notebooks collection repo
- This repo contains important nlp projects notebooks for practice and learning purposes. The projects are fully documented as the code progresses.
- Document Embedding Techniques
- This article discusses in detail many different word embedding techniques from simpler to more advanced.
- Text classification using Gensim
- This article discusses multi-class text classification using doc2vec model, it creates embeddings using doc2vec and then uses Logistic Regression for classification.
- Transformer models Tutorial
- This blog post gives a breif introduction on how to use hugginface transformers to perform classification and these simple ideas can be than extended later on to perform even more complex tasks.
- HuggingFace officel Notebooks
- HuggingFace gives the notebooks for their transformer models which are helpful understanding on how to work with these transformers.
- Common Information Retrieval Evaluation Metrics
- This blog post covers a indepth of some commonly used IR performance evaluation metrics.
- A check list for Data Science Project
- This blog post covers an extensive and in depth process of a data science project. Infact the website itself is full of data science content.
- Publishing your own PyPi Package
- This blog post discusses how to upload a python package on PyPi.
- Federated Learning using Pytorch & PySyft
- A gentle introduction to federated learning using pytorch.