This course focuses on teaching students how to build machine learning pipelines for advanced house price prediction. By the end of the course, learners will be able to perform exploratory data analysis, feature engineering, and feature selection to enhance their predictive models. The course duration is 1 hour and 30 minutes, and the teaching method involves hands-on practice with real-world datasets. This course is designed for individuals interested in advancing their skills in machine learning and data analysis, particularly in the context of predicting house prices.
Overview
Syllabus
Advance House Price Prediction- Exploratory Data Analysis- Part 1.
Advance House Price Prediction- Exploratory Data Analysis- Part 2.
Advance House Price Prediction-Feature Engineering Part 1.
Advance House Price Prediction-Feature Engineering Part 2.
Advance House Price Prediction-Feature Selection.
Taught by
Krish Naik
