Machine Learning

Simulated Annealing with C

Solving Optimization Problems with C We will look at how to develop Simulated Annealing algorithm in C to find the best solution for an optimization problem. The problem we are…

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Recommendation Engine with Neo4j

Collaborative Filtering Recommendation Engine with Neo4j & Python Introduction In a previous blog, we created a graph database in Neo4j using the DVDRENTAL database which you can download from here.…

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Resource Allocation with Simulated Annealing

Optimization Algorithms to Find the Best Solution Possible Resource allocation or resource management is a very difficult task in any company. To find the best resource with the right skills…

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Recommendation Engine in PostgreSQL

Building a Recommendation Engine in PostgreSQL using Python Project GitHub link: https://github.com/MNoorFawi/recommender-system-in-postgresql-using-python N.B. The database is built in this post and refer to the data_preparation_r.R script to have everything ready in…

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Weighted KNN with Python

Building a weighted KNN model to predict house prices using python. Github link for the project and the data: https://github.com/MNoorFawi/weighted-knn-in-python Import important libraries. import pandas as pd import numpy as…

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Julia for Data Science

Exploring JULIA's power in doing Data Science What is and Why Julia ?! Julia Language is a high-level general-purpose dynamic programming language, that was originally designed to address the needs…

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User and Item Based Recommender with Python

User & Item-Based Recommender System with Python Building a movie recommender system from scratch in python using ratings and movies csv files from MovieLens small data set. The system is inspired from the great Programming Collective…

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Clustering with R

Building a clustering algorithm model in R We will use "Wholesale customers data.csv" at https://archive.ics.uci.edu/ml/machine-learning-databases/00292/ to perform Hierarchical and Kmeans Clustering using R. Github link for the project and data: https://github.com/MNoorFawi/clustering-with-R First we load the data…

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Model Comparison with R

Model Comparison finding a good model isn't always the main problem, sometimes there're other models that can give better results or we already have many. so comparing models is of…

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Non-Linear Regression with R

Solving NonLinear Problems with R linear regression is such a great method to predict a variable measurement based on other variables. but not always the relationship between the variables in…

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