dimitreOliveira / HousePricesLinks
Deep Learning using Tensorflow for the "House Prices: Advanced Regression Techniques" Kaggle competition.
☆12Updated 6 years ago
Alternatives and similar repositories for HousePrices
Users that are interested in HousePrices are comparing it to the libraries listed below
Sorting:
- LSTM for time series forecasting☆28Updated 8 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆33Updated 8 years ago
- Using LSTM network for time series forecasting☆44Updated 8 years ago
- Code repository for Ensemble Machine Learning, published by Packt☆52Updated 5 years ago
- Ensemble Machine Learning Cookbook, published by Packt☆61Updated 3 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 6 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 9 years ago
- Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling☆24Updated 7 years ago
- BASM - 2017 Spring☆26Updated 7 years ago
- Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration☆81Updated 8 years ago
- ☆24Updated 7 years ago
- This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Netw…☆13Updated 4 years ago
- Hands On Transfer Learning with Python, published by Packt☆85Updated last month
- Predicting Quality of Red Wine using Machine Learning☆17Updated 7 years ago
- Building Decision Trees From Scratch In Python☆68Updated 6 months ago
- Code for the Kaggle competition "Web Traffic Time Series Forecasting"☆12Updated 3 years ago
- Repository of all the python codes for the Book : Practical Statistics for Data Scientists.☆25Updated 7 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Python Machine Learning Blueprints - Second Edition, published by Packt☆30Updated 5 years ago
- My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms☆13Updated 6 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- This is the code for "Time Series Prediction" By Siraj Raval on Youtube☆192Updated 7 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Winners of the Power Laws forecasting competition☆64Updated 2 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆40Updated 5 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 6 years ago
- A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.☆17Updated 6 years ago
- Approaches for the class imbalance problem (in semicondutor manufacturing process line data)☆26Updated 5 years ago
- 6th place solution for Recruit-Restaurant-Visitor-Forecasting☆17Updated 7 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 8 years ago