30lm32 / ml-time-series-analysis-on-sales-data
Time Series Decomposition techniques and random forest algorithm on sales data
☆55Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ml-time-series-analysis-on-sales-data
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆97Updated 6 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆130Updated 6 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆67Updated 4 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆56Updated 6 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 years ago
- Different clustering approaches applied on different problemsets☆39Updated 4 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Udacity Data Science Nanodegree Capstone☆34Updated 4 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆51Updated 6 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆84Updated 4 years ago
- Credit Risk analysis by using Python and ML☆151Updated 7 years ago
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆35Updated 2 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆30Updated 6 years ago
- This is the code notebook for the blog post on using Python and Auto ARIMA☆103Updated 5 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆136Updated 3 years ago
- Unsupervised Clustering on Online Retail Dataset☆31Updated 5 years ago
- Exploratory Data Analysis (EDA) is performed on the E-Commerce data obtained from a UK-based and registered non-store online retail to di…☆23Updated 5 years ago
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆39Updated 6 years ago
- A machine learning algorithm written to predict severity of insurance claim☆19Updated 8 years ago
- A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in th…☆30Updated 4 years ago
- laxmimerit / NLP-Tutorial-8---Sentiment-Classification-using-SpaCy-for-IMDB-and-Amazon-Review-DatasetNLP Tutorial 8 - Sentiment Classification using SpaCy for IMDB and Amazon Review Dataset☆20Updated 5 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Predicting Employee Churn with Supervised Machine Learning☆65Updated 3 years ago
- Credit Risk Model on Machine learning and prediction☆28Updated 4 years ago
- ☆34Updated 3 years ago
- Book Projects☆24Updated 3 years ago