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 7 years ago
- Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling☆23Updated 7 years ago
- The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorith…☆12Updated 4 years ago
- Code repository for Ensemble Machine Learning, published by Packt☆50Updated 4 years ago
- Customer churn analysis using Telco dataset☆22Updated 6 years ago
- Code for the Kaggle competition "Web Traffic Time Series Forecasting"☆12Updated 2 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Presentation for time series analysis☆45Updated 7 years ago
- Repository containing notebooks for my Pandas tutorial at SciPy India 2013☆15Updated 5 years ago
- Different approaches as (ANN,DecisionTree,Bayes and KNeighbors) to solve and predict with the best accuracy malignous cancers☆26Updated 8 years ago
- Predicting Quality of Red Wine using Machine Learning☆17Updated 6 years ago
- Machine Learning Projects on IOT sensor data☆10Updated 6 years ago
- Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset☆31Updated 7 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆33Updated 7 years ago
- Sharing my solutions to data science hackathons conducted by Analytics Vidhya☆11Updated 7 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- A simple implementation to regression problems using Python 2.7, scikit-learn and XGBoost☆18Updated 3 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.☆21Updated 5 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆38Updated 5 years ago
- Source code for 'Python Machine Learning Case Studies' by Danish Haroon☆69Updated 6 years ago
- Price Wars - A Simulation Platform for Dynamic Pricing Competition☆53Updated 6 years ago
- Winners of the Power Laws forecasting competition☆64Updated last year
- Deep learning in time series analysis☆13Updated 7 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms☆13Updated 5 years ago
- Building Decision Trees From Scratch In Python☆67Updated 5 years ago
- A competition held by Chinese society of social insurance and Aibaba Group. I individually got the ranking of 15 in the first round and 1…☆30Updated 7 years ago
- Dynamic pricing for selling perishable goods☆64Updated 7 years ago