pytholog
Python library that enables using prolog syntax and logic programming in pythonrecommendation-engine-with-neo4j
Building a movie collaborative-filtering-based recommendation system with neo4j & python ...resource-allocation-using-optimization-algorithms
Resource allocation using optimization algorithms and python. Assigning the right resources with the right skills to specific projects or activities with certain requirements.lshashing
python library to perform Locality-Sensitive Hashing for faster nearest neighbors search in high dimensional datarecommender-system-in-postgresql-using-python
Using python to build a movie recommendation engine inside postgresql databaselogic-programming-in-python
Mimicking minikanren logic programming in Python using logpy/kanren library.weighted-knn-in-python
Predict house prices using Weighted KNN Algorithm with KDTree for faster nearest neighbors search in Python.text-kmeans-clustering-with-python
simple text clustering using kmeans algorithmdata-compression
Compressing data using Python and compression techniques for better data storage and transfer.lzhw
Compression suite for data frames and tabular data files, csv, excel etc. Using LZHW algorithm.neo4j-and-postgresql-with-R
Using R to query tables from a PostgreSQL database and then populate a Neo4j Database using its graph query language (cypher) then connecting R to it to query some data.multi-layer-perceptron-with-julia
Building a deep artificial neural network (Multi-Layer Perceptron MLP) using Julia and its package Knet to predict the Forest Cover Type ...creating-api-for-machine-learning-model
developing a machine learning model with R and creating an API for it to enable it to connect with other applications and languages such as python and command line.autoencoder-and-umap-for-clustering
Clustering the manifold of the embeddings learned by autoencoders in pythonstruct-pie
A set of python modules for data structures. Data structures are written in C and imported into python using cythonclustering-with-R
Exploring Hierarchical and Kmeans Clustering algorithms in R trying to segment wholesale customers ...feature-engineering-and-selection-r
Using R to demonstrate some feature engineering and selection techniquesjulia-for-data-science
Exploring Julia programming language in doing Data Science and Machine Learning .sentiment-prediction-using-cnn-and-lstm-in-keras
Using Convolutional and Long Short-Term Memory neural networks to classify IMDB Movie Reviews as positive or negativeassociation-rules-with-R
Doing Market Basket Analysis using Apriori Algorithm to recommend items that are frequently bought together to do up-sale using R and deploying the model in a Shiny App.model-comparison
comparing many classification algorithms (Naive Bayes, Logistic Regression, Support Vector Machine) on Spiral Data with tuning SVM's parameters with mentioning Decision Trees and K-Nearest Neighbors implementation.parallel-knn-with-julia
Applying K-Nearest Neighbors algorithm in parallel with Julia to predict whether income exceeds $50k or not ...pytholog-as-a-logic-database
Using pytholog library, which enables using logic programming in python, as a database and query data with prolog syntax.traversing-graphs-using-pytholog
Finding possible paths, shortest ones if possible, in a weighted undirected graph using pytholog librarylinear-Regression-with-R-and-caret
classification-with-R
Using Logistic regression to perform Machine Learning Classification task to predict whether a patient is diabetic or not based on certain analysis values.Love Open Source and this site? Check out how you can help us