OthmaneTouri10's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
shravya070299/CompanyTurnoverPrediction
It predicts the company turnover
chaikalef/Turnover-analysis-and-prediction
Turnover analysis and prediction
Nahiyan140212/Predict-Future-Prices-Using-Facebook-Prophet
gabegm/Predict-Market-Turnover
Building a predictive model to predict the turnover for the Bundesliga season 17/18
pikepdf/pikepdf
A Python library for reading and writing PDF, powered by QPDF
hellohimanshu/BigMart_sales_pridiction
Tusharyadav147/BigMart-Prediction
joseph-josh/My_Forecasting_App
This web app takes in input a file containing chronological data and ranks the forecasting models used to predict the next period value based on RMSE.
AbdulazizAlshehri/ML-Time-Series-Superstore-Sales-Forecasting
Machine learning timeseries superstore sales forecasting
Uemerson/machine-learning-techniques-sales-forecasting
Comparing Linear Regression, Random Forest Regression, XGBoost, LSTMs, and ARIMA Time Series Forecasting
Jagajit20/Sales_Forecasting
Walmart Sales Forecasting using Machine Learning
hsp-5/Machine-Learning-Time-Series-Forcasting
WALMART stores sales forecasting. (Time-Series forecasting, SARIMAX, FBprophet using Python)
JifanTheAnalyst/Time-Series-Forecasting-with-XGBoost
Machine Learning
MoTechStore/SALES-FORECASTING-MACHINE-LEARNING
mengshanli/salesforecasting
Utilize 2 machine learning models (eXtreme Gradient Boosting and Support Vector Regression) to improve forecast results of 2 traditional methods (Holt’s Exponential Smoothing and Winter’s Exponential Smoothing), and 102 furniture items of a major retailer in Taiwan are applied to the proposed model and the average accuracy (sMAPE) of the best result achieves 93.77%. Additionally, compared to pure Exponential Smoothing models, forecast errors (sMAPE) of the proposed model decreases 46.47% (from 11.64% to 6.23%).
yxh1020/forecast-future-sales
Forecasting total sales for the future month based on a time-series dataset using machine learning
eduardopd/retail-data-app
Machine Learning forecasting sales application.
jesus-r-mendoza/Walmart-Store-Sales-Forecasting
Using various Machine Learning algorithms to predict Walmart's sales per week using over 420k publicly available sales records from Walmart
d88w/ml_sales_forecast
[Sklearn] [Python] [SQL] Machine Learning project - forecasting company sales finish with pipeline data
gmenchetti/Sales-Prediction
A forecasting method to optimize promotions and warehouse stocks, based on classical machine learning regression methods
abhinav-bhardwaj/Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning
Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
samirsaci/ml-forecast-features-eng
Machine Learning for Retail Sales Forecasting — Features Engineering
mollyryanruby/sales_forecasting
5 machine learning techniques to forecast product sales
nicknochnack/MultiStoreProductForecasting-with-Prophet
Multi store and product forecasting data and code for demonstration with Data Science Dojo!
nicknochnack/PythonForDataScience
A full crash course on Python for beginners with a focus on Data Science
nicknochnack/ImageClassification
Jupyter notebook showing how to build an image classifier with Python and Tensorflow
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
Apress/monetizing-machine-learning
Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei
GoogleCloudPlatform/python-docs-samples
Code samples used on cloud.google.com