ham-st Goto Github PK

centrale_ai

Repo of the training courses I gave or supervised at Centrale AI, the Data Science and Artificial Intelligence organization of my engineering school.

datasciencecoursera

This is a repo for R projects in JHU/Coursera Data Science Specialization.

deep-learning-projects-using-tensorflow-2

source code

form

formation-deep-learning

Supports de formation Deep Learning (diapos et exercices pratiques)

gcdataproject

Course Project of Getting and Cleaning Data (coursera)

getdata-proj1

This is a repository for Coursera Getting and Cleansing Data class project

ham-st

Config files for my GitHub profile.

heart-disease-prediction

Project for "Data Processing" course

heart-disease-prediction-using-knn

This repository demonstrates the project of "Heart Disease Prediction using Machine Learning". This project has been created by implementing the K Nearest Neighbors Algorithm. Initially, the Machine Learning model of KNN Algorithm is trained 67% using heart_disease_train dataset and later on the expected results are tested and obtained successfully with 33% of dataset used for the testing purposes. The accuracy of around 85.06 % was achieved after the successful execution of the Machine Learning Model.

heart_disease_prediction

Heart Disease prediction using 5 algorithms

lendingclubloandataanalysis

This data science project analyzed the loan data from lending clud and built models to predict whether a loan record will result in default. The data was downloaded from https://www.lendingclub.com/info/download-data.action. This dataset contains loan data from 2012 to 2016 and data from 2012 to 2015 will be used as training data and 2016 data for test. The whole dataset contains about 1.27 million records and each record has 151 features. Please notice only the data downloaded by membership contains these 6 features: fico_range_low, fico_range_high, last_fico_range_high, last_fico_range_low,sec_app_fico_range_low,sec_app_fico_range_high. This analysis mainly contains four sections: Loading Data and Knowing the data, Exploratory data analysis, Futher Exploratory Data Analysis and Building Models. This notebook contains first 3 sections and Building model will be in other notebook file.

machine-learning

Machine Learning Algorithms

machine-learning-with-python

Python code for common Machine Learning Algorithms

predictive-maintenance-spark

Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.

python-for-data-science

Course Companion

scikit-learn

scikit-learn: machine learning in Python

trump-lies

Tutorial: Web scraping in Python with Beautiful Soup