Where thereâ€™s data, thereâ€™s insight. With so much data being generated, there is immense scope to extract meaningful information thatâ€™ll boost business productivity and profitability. By learning to convert raw data into game-changing insights, youâ€™ll open new career paths and opportunities.
The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. Youâ€™ll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, youâ€™ll get hands-on with approaches such as grid search and random search.
Next, youâ€™ll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. Youâ€™ll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch.
By the end of this book, youâ€™ll have the skills to start working on data science projects confidently. By the end of this book, youâ€™ll have the skills to start working on data science projects confidently.