RishiSankineni / Machine-Learning-Pipeline-LR-Pyspark
Power Plant ML Pipeline Application - Apache Spark
☆12Updated 8 years ago
Alternatives and similar repositories for Machine-Learning-Pipeline-LR-Pyspark:
Users that are interested in Machine-Learning-Pipeline-LR-Pyspark are comparing it to the libraries listed below
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆32Updated 7 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and tempe…☆46Updated last year
- Graph theory to optimize the road transportation network of a retail company☆19Updated last month
- ☆30Updated 6 years ago
- Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help …☆15Updated 4 years ago
- Complementary Jupyter notebooks for load forecasting tutorial.☆12Updated 4 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 5 years ago
- Based on the historical electricity consumption data of more than 1000 enterprises in a high-tech Zone, design algorithms to predict the …☆28Updated 7 years ago
- Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.☆16Updated 3 years ago
- This repository basically covers Python implementation of different machine learning algorithms like Linear Regression, Logistic regressi…☆22Updated 8 years ago
- [Big Data Analytics]Analyzing relationship between changes in weather and its impact on the city taxis☆13Updated 7 years ago
- a toolkit for forecasting energy time series☆19Updated 2 years ago
- Example repository for the Power Laws: Optimizing Demand-side Strategies competition on DrivenData☆28Updated last year
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 4 years ago
- Exploratory Data Analysis with Pandas and Python 3.x, published by Packt☆44Updated 2 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- Book Projects☆24Updated 3 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆36Updated 5 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 7 years ago
- Exploring the relationships in the historical data of weather, wind generated electricity and electricity demand. Base on the analysis, u…☆13Updated 3 years ago
- The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to wor…☆13Updated 8 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- tahanakabi / An-ANN-LSTM-based-Model-for-Learning-Individual-Customer-Behavior-in-Response-to-Electricity-PricesAn ANN-LSTM based Model for Learning Individual Customer Behavior in Response to Electricity Prices☆11Updated 5 years ago
- Work for Mastering Large Datasets with Python☆18Updated 2 years ago
- Deep Learning with Apache Spark and Deep Cognition☆59Updated 6 years ago
- This repository contains Time series Analysis and Forecasting tutorial from Analytics Vidhya☆22Updated 6 years ago
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 6 years ago
- An array of open source ML models applied to long-term hourly energy prediction for institutional buildings☆27Updated 3 years ago
- time-series prediction for predictive maintenance☆50Updated 6 years ago