Improving prediction accuracy| Outlier analysis in python| Multicollinearity in regression

Improving prediction accuracy| Outlier analysis in python| Multicollinearity in regression video would help you guys understand how to perform model fine tuning in python step by step. It will help you understand how to use python for model fine-tuning, perform outlier analysis, improving regression model accuracy and new model generation. We would be fine tuning a base model we created in our previous session. Below is the link for the same for better understanding. https://www.youtube.com/watch?v=RHQAe_cnjCI The following are the contents in this video. 00:00 – Introduction to regression model fine-tuning using python 00:35 – Recap of base model 03:14 – Outlier analysis in python 05:11 – Multicollinearity in regression 08:46 – New model generation 09:20 – Model comparison 09:59 – Thank you note Connect with me: LinkedIn: https://www.linkedin.com/in/ponshankar-palanivel/ Twitter: (@PonshankarP): https://twitter.com/PonshankarP?s=09 Useful Links: Kaggle link: https://www.kaggle.com/nehalbirla/vehicle-dataset-from-cardekho Anaconda download link: https://www.anaconda.com/products/individual#windows Please comment your questions below, and I will try my best to clarify it. #ImprovingModelAccuracy #PythonForModelFineTuning #NewModelGeneration #ModelFineTuning #FineTuningModel #OutlierAnalysis #ImprovingRegressionModelAccuracy