KaitaiD / Kaggle_EDA
Data visualization and EDA projects for different datasets on Kaggle
☆14Updated 5 years ago
Alternatives and similar repositories for Kaggle_EDA:
Users that are interested in Kaggle_EDA are comparing it to the libraries listed below
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 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
- The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.☆19Updated 3 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆58Updated 2 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…☆26Updated 6 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- Iowa House Prices Kaggle (top 5%)☆13Updated 10 months ago
- This is a guided certification project, as a part of Data Science for Social Good initiative☆17Updated 5 years ago
- Public Repo of my machine learning project to predict home prices☆12Updated 5 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…☆22Updated 5 years ago
- Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.☆14Updated 4 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Unsupervised Clustering on Online Retail Dataset☆31Updated 6 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆57Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Book Projects☆24Updated 4 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
- Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…☆14Updated 8 months ago
- My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of …☆13Updated 7 years ago
- A small repository explaining how you can validate your linear regression model based on assumptions☆13Updated 3 years ago
- Portofolio repository for Udacity Data Scientist Nanodegree☆41Updated 4 years ago
- Exploratory data analysis to start digging in to those questions, with data on the plot, cast, crew, budget, and revenues of several thou…☆19Updated 6 years ago
- Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using…☆64Updated 4 years ago
- Sources for some videos☆42Updated 4 years ago
- Predicting Employee Churn with Supervised Machine Learning☆65Updated 4 years ago
- Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.☆10Updated 4 years ago
- ☆26Updated 5 years ago
- ☆10Updated 5 years ago