dimitreOliveira / HousePrices
Deep Learning using Tensorflow for the "House Prices: Advanced Regression Techniques" Kaggle competition.
☆12Updated 5 years ago
Alternatives and similar repositories for HousePrices:
Users that are interested in HousePrices are comparing it to the libraries listed below
- 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
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated 10 months ago
- Implementing Machine Learning tasks using Tensorflow framework☆15Updated 7 years ago
- Code for the Kaggle competition "Web Traffic Time Series Forecasting"☆12Updated 2 years ago
- Recommendation system for music.☆14Updated 2 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆32Updated 7 years ago
- ☆13Updated 7 years ago
- Slides, code and more for my class: Data Analytics and Machine Learning on Big Data☆8Updated 7 years ago
- Using Wide Residual Networks to get state-of-the-art results in CIFAR-10 dataset☆20Updated 7 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆11Updated 7 years ago
- LSTM for time series forecasting☆28Updated 7 years ago
- A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.☆17Updated 5 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…☆30Updated 5 years ago
- {PySpark, R, Python}: Several Data Science projects☆15Updated 6 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- 57th place solution in "Bosch Production Line Performance"☆19Updated 7 years ago
- Deep learning in time series analysis☆13Updated 6 years ago
- This repository contains Time series Analysis and Forecasting tutorial from Analytics Vidhya☆22Updated 6 years ago
- ☆11Updated 6 years ago
- 'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev☆66Updated 2 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 9 years ago
- Understanding Seattle Bike Count data☆17Updated 7 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- Repository for lecture "Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets"☆11Updated 6 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 7 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 8 years ago
- data analysis, big data development, cloud, and any other cool things!☆30Updated 8 months ago
- 6th place solution for Recruit-Restaurant-Visitor-Forecasting☆17Updated 7 years ago