There are no reviews yet. Be the first to send feedback to the community and the maintainers!
cracking-the-data-science-interview-in-7-days
Recommendation-systems
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 BalΓ‘zs 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 SystemsAutomated-Machine-Learning
All AutoML LibrariesMachine-learning-algorithm-PDF
500-AI-ML-DL-CV-NLP-projects-with-code
End-to-End-small-projects
A repository for multiple end to end small machine learning and deep learning projects from scratch to productionComplete-python-bootcamp
Guide-to-treat-Missing-values
A complete guide to treat missing valuesTime-Series-Analysis
Times Series Analysis with various examplesReinforcement-Learning
A-complete-guide-to-ML
Transfer-Learning-Algorithm
State of art algorithmArtificial-Neural-Network
ANN Model with hyperparameter tuningEnd-to-End-computervision
AI-ML-Projects-and-details
Automated-EDA-Tools
Automated EDA ToolsBert_Text_summarizer
Auto-ML
Auto Ml LibrariesApproximate-Nearest-Neighbors
Computer-Vision
Open Cv Library for Computer vision from sketchFacial-Wrinkles-Prediction
Text2Code
Simple-Chatbot-using-NLTK
PCA-with-Modeling
ML-codes-for-python-and-R
Web_Scraping
Web scraping through Beautifulsoup,Requests,URL & SeleniumTransformers-in-NLP
Approach-any-NLP-problem
Blood-group-Detection-using-image0processing
VEHICLE-NUMBER-PLATE-DETECTION
teeth-detection
Air-Quality-Analysis
Anomally-Detection
Fraud detection on E commerce DataFind-Keywords-using-NLP
Using NLP find the keywordsData-Visualization-through-Plotly
Intro to plotlyDifferent-Language-detector
ML-in-100-days
House-price-mini-project
Predicting house price and detailed analysisObject-Detection
Draw-new-datapoints-using-drawdata
Automatic-image-rotation
Basic-facial-fun-using-Open-Cv
Sentimental-Analysis
Sentimental Analysis modeling using NLTKDriving_Plate_Recognition_using_ML
Sudoko-solver-using-CV
Virtual-hover-pen-using-open-cv
A virtual hover pen using open cvAssumptions-of-Linear-Regression
All Assumptions of Linear RegressionBasic-NLP-intro
NLPImage-segmentation
piyushpathak03
YOLO-Algorithm
Build-your-Own-Object-Detection-Model-using-TensorFlow-API
Facial_aExpression_recognition_using_DNN
Bike-rental-count-prediction
Question-generator-using-NLP
Chatbot
Chatbot for helping and assistancedocument-classification-using-DL
Satellite-image-object-recognitionn
-ANN-using-tensordash
Garbage-Classifier
Signature-verification-with-Siamese-Networks
Gender-Recognisition-Age-Estimator
Hate-speech-detection
stance_detection
Object-detection-and-localization
Machine-learning-in-Python
All ML Algortihms and important conceptsGenrative-Adversial-Network
Connecting-MYSQL-with-Python
Mini-projects-using-openCV
NLP-using-STANZA
Intro-to-DL
ANN & CNNFace-Recognition
Reduce-model-size-convert-model-into-TFLite-
Hyperparameter-Tuning-
Forest-Cover-classification
Handling-Imbalanced-Dataset
FAKE_REVIEW-DETECTION-UsingSENTIMENT-ANALYSIS
Image-Captioning-using-Attention-mechanism
building-powerful-image-classification-models-using-very-little-data
Audio-Analysi
Simple-chatting-platform
Chat on Facebook via pythonA-complete-guide-to-DL
Complete guidance to learn deep learningfrom scratchcorona-chatbot-on-Rasa-NLU
Simple chatbot which tells us about corona cases in command promptFacial-key-point-detection
Model-Interpretability-by-Shapash
Game-controller-using-Open-CV
Model-Deployment
Machinelearning-with-Python
Dimension-Reduction-Techniques
Water-classifier
NLP-using-SPACY
Spacy library intro and use case.Gender-classifier-and-Age-estimator
Speech-to-Text
Loan_Defaulter_Prediction_using_ML
VAEX
VAEX & DASK Libraries for huge datasetAI_Thermometer
Copy-move-Image-forgery-detection-
AUTO-EDA-using-IF-Else
A simple Auto-EDA model for describing and visualization of data using IF-Else conditionsFeature-Selection
Feature Selection TechniquesData-Science-interview-questions
Love Open Source and this site? Check out how you can help us