stef-aramp / Human_Resources_Analytics-Prediction
Prediction of "left/stayed" employees using Decision Trees and more
☆10Updated 6 years ago
Alternatives and similar repositories for Human_Resources_Analytics-Prediction:
Users that are interested in Human_Resources_Analytics-Prediction are comparing it to the libraries listed below
- Why are our best and most experienced employees leaving prematurely?☆12Updated 7 years ago
- Machine Learning based model to predict Insurance Pure Premium☆12Updated 8 years ago
- Predict why are our best and most experienced employees leaving prematurely? using machine learning.☆20Updated 8 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Predicting if a employee is going to leave☆9Updated 7 years ago
- Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project☆16Updated 8 years ago
- Automate claim approval in personal insurance sector.☆19Updated 8 years ago
- 6th place solution for Recruit-Restaurant-Visitor-Forecasting☆17Updated 7 years ago
- Workshop and lesson on Exploratory Data Analysis☆12Updated this week
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- My machine learning capstone projects that predicts rental rates and property values in San Francisco using two datasets (Airbnb and SF A…☆31Updated 6 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Slides, code and more for my class: Data Analytics and Machine Learning on Big Data☆8Updated 7 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- Hands on Unsupervised Learning with Python [Video], Published by Packt☆29Updated 2 years ago
- An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…☆23Updated 7 years ago
- Web Crawl(Scrapy), Text Mining(NLTK) Data Mining(Sklearn) Visualization(Python, Tableau). Classification and Clustering on Google App tex…☆16Updated 8 years ago
- Few tutorials on pandas, matplotlib and seaborn☆26Updated 8 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆34Updated 7 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and ANOVA, Correlation and Regression analysis, Data standardisation and F…☆10Updated 7 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 9 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.☆21Updated 5 years ago
- ahmedbesbes / Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-KerasWhat makes convnets so powerful at image classification?☆46Updated 7 years ago
- ☆10Updated 6 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- Data mining algorithms with Python☆10Updated 5 years ago
- Build a flask app to server a machine learning model as a RESTful web service☆38Updated 7 years ago
- Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'☆41Updated last month