peppyguy

Amazon-Product-Recommender-System

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Analytics_Vidhya

Codes related to activities on AV including articles, hackathons and discussions.

AutoArima-Time-Series-Blog

This is the code notebook for the blog post on using Python and Auto ARIMA

BellkorAlgorithm

A Python implementation of the Bellkor Algorithm

clothing-recommender

ML

cwru

datacamp_facebook_live_ny_resolution

In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym' and 'finance' to see how they vary over time.

deep-learning-coursera-complete

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

DL4CVStarterBundle

Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock

Future_Datathon

This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.

Grocery_sales_forecasting

This project is based on a challenge posted on kaggle.com. It is about prediction product sales for Corporación Favorita(CF) . CF is one of the Ecuadorian-based grocery retailers, operating hundreds of stores, with over 200,000 different products which includes perishable products also such as egg,milk etc. They need good estimated sale of each product so that they can purchase and update inventory accordingly. This estimate eventually benefits two ways to FC. One, help FC not to overstock under popular products specifically perishables and another is have enough inventory in anytime for each product so that customers do not disappointed because not having stock of product.

Kaggle

Codes for Kaggle Competitions

Kaggle-Competition-Favorita

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Popularity-Based-Recommendation

Practical-Time-Series-Analysis

Practical Time-Series Analysis, published by Packt

PracticalPythonAndOpenCV_CaseStudies

Edited code examples from the book 'Practical Python and OpenCV - Case Studies (3rd Edition)' by Adrian Rosebrock

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

python-data-cleaning

Jupyter Notebooks and datasets for our Python data cleaning tutorial

python_and_excel

tutorials and notebooks on using python where excel fails or in combination with excel

Regularization-

Rossman-Stores-Sales-Prediction-using-Python-R

This project mainly focuses on building a predictive model to predict the sales of 1115 rossman stores across Germany.

SALES-FORECASTING-OF-RETAIL-CLOTHING-PRODUCT-CATEGORIES

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods.

Shiny

Shiny-App

A shiny interface for ML models, data visualization etc.

Sky-Cast-Capstone

Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series

SQL-for-Data-Science

Coursera - University of California, Davis

Tutorial-Arima-w-jeffrey-yau

Udacity-ML-Capstone

Udacity Machine Learning Nanodegree Capstone Project

Wallmart_Sales_Predictions

Machine learning project on predicting sales for Wallmart stores

Walmart-Sales-Prediction