Many people want to be Data Scientists, but do they all have the right guidance to shine at their current job or for a prospective job interview? Sadly, no. Why? Because they would have been trained on how packages work and NOT on how to apply these in real life projects.
Welcome to our one of a kind data science Projects course. In this course, the tutor will give a brief refresher about the various Data science techniques, and MORE importantly, walk you through the different steps of doing a complete project from downloading data set to trying different models.
We will also be covering how to use Kaggle and polish your profile for the same.
The live project session covers:
1. Formulate the predictive model with home sale prices.
2. Predict home sale price for Test Dataset with lowest possible error.
3. Compare efficiency and error rates for all predictive models and identification of best predictive model with minimum prediction error rate