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rnn-lstm-timeseries_forecasting

Time Series Forecasting using Recurrent Neural Network - LSTM model using Keras Library for deep learning.

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

rossmann

rossmann-1

rossmann-kaggle

rossmann-store-sales

Rossmann Store Sales Kaggle competition

rossmann-store-sales-predictions

Kaggle top performer(Grandmaster) had a score of 0.10021. I had a self validation score of 0.10874 and a public score of 0.12516. Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. Prediction is of 6 weeks of daily sales for 1,115 stores located across Germany.

rossmann_store_sales

Predict future sales of 1100 Rossmann drug stores spanning across 28 cities in Germany.

rossmann_tsa_forecasts

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

rossmannstoresales

:moneybag: Predicting the sales of Rossmann drug stores through machine learning.

santander-product-recommendation

2nd Place Solution of the Kaggle Competition - Santander Product Recommendation

scikit-learn

scikit-learn: machine learning in Python

statistics-with-python

statistics-with-r-specialization

Project work for Coursera Statistics with R Specialization offered by Duke University

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

store-item-demand-forecasting

Results of the Store Item Demand Forecasting Challenge hosted in Kaggle

store_sale

1000+ Store Sale Forecasting (Rossmann Kaggle Data Science Challenge, RMSE 0.11)

strategic-business-analytics-specialization

Offered by ESSEC Business School via Coursera

susanli2016.github.io

My data analysis blog, based on Minimal Mistakes theme

tableau_r_forecast

Using R with Tableau Desktop to create forecast models with the Super Store Sales dataset.

tensorflow-2.0-keras

TensorFlow 2.0 + Keras guide by François Chollet for deep learning researchers.

tensorflow-time-series-examples

Time Series Prediction with tf.contrib.timeseries

time-series-analysis

This repository contains Time series Analysis and Forecasting tutorial from Analytics Vidhya

time-series-analysis-of-canadian-national-bankruptcy-rates

time-series-arima-xgboost-rnn

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

time-series-forecasting-to-increase-sales-for-rossmann-stores-drusgstore-using-sas-enterprise-miner

Used SAS Enterprise Miner and R Programming language to build, compare, and evaluate models which best predicts the sales of 1115 Rossmann stores and forecasted sales using store promotions and competitor data.

time_series_analysis

Review of time series using regression and neural network methods

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

tutorials

CatBoost tutorials repository

udacity-data-analyst

Project work for the Udacity Data Analyst Nanodegree