Posted in Machine Learning
Rahul Raoniar- posted on
- Comments Off on Fitting MLR and Binary Logistic Regression using Python
Learn how to estimate regression models in Python for research publications.
Posted in Machine Learning
- Rahul Raoniar
- posted on
- Comments Off on Machine Learning Model Explanation using Shapley Values
Learn how to interpret a BlackBox model using SHAP (SHapley Additive exPlanations)
Posted in Data Visualization, R
- Rahul Raoniar
- posted on
- Comments Off on Combining Multiple ggplot2 Plots for Scientific Publications
Learn how to combine multiple plots for scientific publications.
Posted in PhD Diaries
- Rahul Raoniar
- posted on
- Comments Off on Online Courses for Starting your Research Journey
Top Courses that students should take on Coursera for boosting learning and skills.
Posted in Machine Learning, Python
- Rahul Raoniar
- posted on
- Comments Off on Diabetes Prediction Model Explanation using LIME
Train, test and explain a Diabetes classification model in Python using LIME
Posted in Machine Learning, R
- Rahul Raoniar
- posted on
- Comments Off on Modelling Multiple Linear Regression Using R
Learn how to train an MLR model, interpret its coefficients and perform a step-wise regression.
Posted in Data Science, Python, R
- Rahul Raoniar
- posted on
- Comments Off on Setting Up IPython Notebook using Anaconda Distribution
Learn How to Setup Anaconda environment and connect it to IPython kernel.
Posted in Machine Learning, R
- Rahul Raoniar
- posted on
- Comments Off on Decision Tree-Based Diabetes Classification in R
Decision Tree Training, Pruning and Hyperparameters Tuning.
Posted in Data Visualization, R, Statistics
- Rahul Raoniar
- posted on
- Comments Off on How to Create and Customize Bar Plot Using ggplot2 Package in R
Building Bar Plot, Adjusting Colors and Labeling.
Posted in Machine Learning, Python
- Rahul Raoniar
- posted on
- Comments Off on Diabetes Classification using PyCaret
Model comparison, hyper-parameter tuning and plotting in a few lines of codes
