shishir349 / Analyzing-the-Email-Opening-Rates
Before building an email marketing campaign, it’s important to define your goals so you know if your campaign will be a success. One of the most vital factors to consider is how many people read and engage with your emails. This is a great indicator to show if your efforts and resources are worth the investment.
☆11Updated 4 years ago
Alternatives and similar repositories for Analyzing-the-Email-Opening-Rates:
Users that are interested in Analyzing-the-Email-Opening-Rates are comparing it to the libraries listed below
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- The python version of the lab exercises from the coursera class Foundation of marketing analytics.☆12Updated 2 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆40Updated 8 months ago
- In this Complete process in machine learning is discussed and done with pyspark .☆19Updated 4 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visu…☆49Updated 5 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 …☆134Updated 7 years ago
- Book Projects☆24Updated 4 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)☆16Updated 4 years ago
- Numpy and Pandas are one of the most important building blocks of knowledge to get started in the field of Data Science, Analytics, Machi…☆15Updated 5 years ago
- Customer-base segmentation over e-commerce sales data☆26Updated 5 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆60Updated 6 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆58Updated 3 years ago
- There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learnin…☆44Updated 4 years ago
- Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.☆80Updated 6 years ago
- The solution to the Loan Prediction Practice Problem on Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/practice-problem-l…☆30Updated 5 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆52Updated 6 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆82Updated 5 years ago
- Machine Learning Course☆14Updated last month
- Different clustering approaches applied on different problemsets☆39Updated 4 years ago
- A small repository explaining how you can validate your linear regression model based on assumptions☆13Updated 3 years ago
- It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flas…☆27Updated 2 years ago
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆82Updated 2 years ago
- Exploratory Data Analysis with Pandas and Python 3.x, published by Packt☆44Updated 2 years ago
- Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project☆16Updated 8 years ago
- Data Cleaning In Python and Julia with Practical Examples☆83Updated 5 years ago
- This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded …☆29Updated 3 years ago