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followers: 20.0 following: 166.0 repos: 107.0 gists: 2.0

Name: Nabil BELGASMI

Type: User

Company: BUSINESS AND AI

Bio: Artificial Intelligence Expert

Location: Tunisia

Blog: www.business-and-ai.com

Nabil BELGASMI's Projects

a-comprehensive-ml-workflow-for-regression-methods

This is a comprehensive ML workflow for regression methods, I have tried to help Fans of Machine Learning with how to face machine learning regression problems. and I think it is a great opportunity for who want to learn machine learning workflow with python completely.

adversarialnetspapers

The classical paper list with code about generative adversarial nets

airflow-maintenance-dags

A series of DAGs/Workflows to help maintain the operation of Airflow

analyzing_neural_time_series

python implementations of Analyzing Neural Time Series Textbook

android

Common Utils library is developed to reduce efforts to achieve common features of the android apps. While developing the apps, we realized that we’re coding for many common features in all the apps. For e.g. check the network’s availability, using shared preferences, parsing, etc. And like us, many other android developers might be doing the same. So it needs to be reduced for all to save the development time with ease. This is how an idea popped in our mind, and we decided to develop an SDK which can reduce developers’ time and efforts.

android-usb-communication

Android application and host machine communication over USB

anomalydetection

Anomaly Detection with R

arrow

Better dates & times for Python

autosklearn-zeroconf

autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.

avenir

Set of machine learning tools based on Hadoop and Storm https://pkghosh.wordpress.com/

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-rl

Reinforcement learning resources curated

awesome_time_series_in_python

This curated list contains python packages for time series analysis

bert_language_understanding

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

bidmach

CPU and GPU-accelerated Machine Learning Library

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

cancer-classification

A program that uses the k nearest neighbor algorithm and training data to predict whether cancer is malignant or benign

car-price-prediction-system

Technologies: Nutch 1.6, MapReduce in Java, Mahout. For selling a used car, its price can be predicted by giving some attributes. e.g. Car Model, total miles, engine type. Trained data will be provided to our system to predict the price for new data. Used Nutch to crawl car data from 52 states which is on craigslist.org. Over 0.3 million records were fetched. The content was then pruned using two MapReduce Jobs. The first MapReduce cleaned the data removing unwanted unicode symbols and incomplete data (information without car model or total miles or engine or price). The Second MapReduce extracted the required attributes and emitted in tsv format. This tsv was then provided to a Naïve Based Classifier in Mahout. A classification model was built from the training data. This models predicts the price when attributes like car model model, miles, engine was provided.

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Nabil BELGASMI's Projects

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