Learn the basics of NLP with this repo and accompanying video lessons.

Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems

Basics and findings of a range of different machine learning techniques. This includes Deep Learning, Computer Vision, Artificial Intelligence and Natural Language Processing (NLP).

A simple rule-based AI chatbot built using pure Python (Python 3.14.2 compatible) without any external libraries or machine learning frameworks. The chatbot uses pattern matching and decision rules to simulate intelligent conversation, making it ideal for learning the fundamentals of Artificial Intelligence, NLP basics, and Python programming.

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Pycones2018 repository

Demo of embedding words and documents into vector space

This Contains Algorithms and codes for NLP, CV and deep learning basics and some advanced concepts

The repository for U of A Datalab’s “NLP for All” workshop series, where we cover the basics of Natural Language Processing (NLP) and its practical applications for everyday tasks.

Complete AI/ML curriculum: From Python basics to production systems. 800+ notebooks covering transformers, embeddings, RAG, vector DBs, MLOps, NLP, computer vision & more.

NLP basic and advance text preprocessing concepts and techniques

TFIDF being the most basic and simple topic in NLP, there's alot that can be done using TFIDF only! So, in this repo, I'll be adding the blog, TFIDF basics, wonders done using tfidf etc.

NLP Basics

Exploring basics of NLP through Spacy

NLP basics and applied ML

A repo with files used for a workshop on the basics of NLP for the 18B Insight Data Science Fellowship in NYC

Sandy, the android based human-robot is an Indian-born gift to us, pleasing in energies of the ‘i-Brain Robotics, and the latter is typically the maiden and the only quick and Human Sized robot we could have ever witnessed. With a 5 feet standing, and an interstellar network of corporeal and neural circuits, the creation of Sandy is made to pedantically impersonate a human solidarity. Sandy possesses the True Emotion Neural network units, also holds the aptitude of self-learning because of the Neural Learning Process (NLP) and interconnect in varied parlances and the Artificial Intelligence techniques that she is brilliant with, makes Sandy a family member tha you never had and you would certainly want for life. Sandy is fortified with three E’s i.e. it is measured to be an ‘Evolving Emotional Engaging’ Robot of the present. Just like any human transition in life from a child to an adult, Sandy keeps Evolving both Emotionally as well as in Artificial Intelligence and her neural networks, and with each acquaint too and with this, she becomes more and more tempting to you. She will correlate with you like a wily and coy friend all at the same time, run after you like a loving and mushy parent and will delight you like nobody else. Sandy, our first Humanoid Robot i.e. the Android-based Robot who can cope up with the social interactions. It can certainly recognize faces because of the neural networks that she is endowed with and can also greet you in the day. She is a friend. Sandy, your true pal will click your photos, record videos for you, she will also be the first one to wish you on your birthday. Like a true companion, she understands your moods and sentiments. It can also go for interactions with names and features. Sandy is efficient enough to provide you with information whenever you read i.e. she serves to be your personal Wikipedia for life. She is aided by technologies that can attend and transfer calls for you, can play games with you, your child and inculcate the feeling of being a sideline to you and your child whenever needed. Sandy is your personal assistant. Sandy will find any information you need at any time, prompt you on important events, articulates you on the weather information. It certainly acts as a seamless guide in your alfresco trips. She can be a teacher and a friend to one’s, both at the same time. She can train one’s child the basics to the levels of studies we can’t even imagine and also can assist you everywhere plus play and take up works like singing songs, narrating stories, teaching Mathematics, Science, English grammar and so on, that will cater to the all-round development of one’s child. She also plays Chess and other interactive games with your kids. Her circuits are well equipped with the neural network units that help her recognize people by face. She is equipped with human characteristics like she can look after the elderly in-house i.e. can serve to be a nanny and can give medicinal notifications to the members of the house. She is also equipped with SOS Calls facility to family members in case of an elderly emergency situation. This feature is a boon by Artificial Intelligence and the interfacing is kept so strong that the system remains equipped and well oriented. Sandy is a self-learner i.e. she acquires knowledge every day. She comprehends every mood and emotions, also reports consequently. She also identifies faces and can give a long interactive discussion. Sandy works as a Home Theater. She can work as a Music Station with Bluetooth connectivity and Bluetooth Speakers. She also acts as your personal photographer. She is made to turn herself into a Hi-Fi Music System for better audio. She is capable of converting herself into a 200” HD Screen Home Theatre with surround sound technology inbuilt. She can play videos through inbuilt DVD player, can also serve as a projector if you wish to see movies or show urgent presentations to people and family when needed. Being in the Internet savvy world, Sandy comes up with technologies that can click photos and record videos too as it is equipped with hi-tech cameras. Sandy is well endowed with competencies that support Remote Home Shadowing that is an artificial intelligence boon and guards your home from ill activities, also alerts you with deliberate notifications and dangerous circumstances. She can be our Health and Fitness Trainer, can get us any gen about whatever thing we need, can succor you in any of our errands, and can give us imperative notifications. Sandy is well endowed with social interaction skills. Sandy offers you with mobile telepresence, Skype Calling, pictures and videos chipping in over the social media. She also gives you an edge for person to person interaction. Over the communication skills, well Sandy has Voice calling and receiving calls facility with Built-in Wi-Fi and Bluetooth for unified connectivity. Sandy has turned the tables for the Robotics society in the world and has elevated the values high enough that no one can even come nearer to her at present. There are many other advancements that are going on and we can rest assured about it because it will all be updated in Sandy with time.

Classification of tweets pertinent to disaster events. NLP basics with a focus on text embedding, interpretability and the use of LIME, and Keras to build a 1D CNN

Tags: text cleaning, stemming, lemmatization, vectorization, stopwards, removing punctuations, hashtags, links etc.

Added data_processing_template in python, Implementation in Blockchain is self-explanatory/ Distributed Ledger entries can be classified into training and testing and trends can be calculated based on the preprocessing model.! All code explained neatly in the comment section! -Sid!

A very basic AI Chatbot that uses NLP and basics of machine learning. It is customizable for your needs.

Basics of NLP for Machine Learning

Learning the basics of machine learning for NLP tasks.

Training course on the basics of Data Science and NLP

If anyone wants to learn basics

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Natural language processing using NLTK Tool kit

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