Build A Predictive Model Using Python: Your Complete Guide for 2024
A framework to quickly build a predictive model using python in under 10 minutes & create a benchmark solution for data science competitions.
Technique
Marketing Analytics: Essentials of Cross-Selling and Upselling
This article highlights the concept of cross selling and upselling using a case study. Definition, cross-sell process, strategy is discussed
Ensemble Learning: Combining Models for Superior Machine Learning Results
A tutorial to learn about the basics of ensemble learning and various ensemble learning techniques to improvise stability and predictive power of the model.
Data Scientist‘s Guide to Finding the Right Meetup Groups Using Python
Using python, here's a data scientist hack to automate the search for meetup groups in local area using multiple python libraries and API
Mastering Regression Techniques in Machine Learning: An Expert‘s Guide
Regression techniques are the popular statistical techniques used for predictive modeling. Learn common types of regression techniques.
Data Visualization in R: Your Complete Guide to Creating Stunning Data Stories
Beginners guide to data visualization in R. The article includes steps to create a heat map, mosaic map, bar chart, histogram, 3D graph for Data Visualization
Dimensionality Reduction: A Comprehensive Guide
Explore Dimensionality Reduction: Importance, techniques, benefits, methods, examples, and components in machine learning & predictive modeling.
Random Forest Parameters Tuning: Mastering the Art of Model Optimization
Tuning random forest models to improve its performance. Learn about random forest parameters tuning for machine learning to improve accuracy.
Data Visualization in Python: Mastering Matplotlib and Seaborn
The article features ways to perform data visualization in python with exclusive libraries matplotlib and seaborn for visualization.
Parametric Survival Analysis: Understanding Time-to-Event Data Through Statistical Modeling
An introduction to parametric analysis. Learn about parametric survival analysis using distribution like normal, uniform, lognormal along with applications.