Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also
InstructorStart-Tech AcademyThe curriculum integrates numerous project exercises focused on data preprocessing, such as outlier treatment and missing value imputation.
Instruction includes simulated interview role-plays and comprehensive preparation questions to assist with professional transitions.
One signal suggests the curriculum moves into Python modeling without providing sufficient statistical foundations. Note that this review predates the displayed update date, and the update label does not prove a correction has been made.
One sampled review suggests that learners have noted that complex mathematical concepts are sometimes explained through high-level diagrams rather than intuitive visual aids. This signal also predates the displayed update date, and the update label does not prove a correction has been made.
One signal indicates that code parameter changes may require manual updates via the Q&A section, and auto-generated subtitles can be inaccurate. This signal predates the displayed update date, and the update label does not prove a correction has been made.
The curriculum aligns well with the stated goals of beginners and those pursuing data science careers through its focus on Python and preprocessing.