Kaggle Masterclass – build a Machine Learning Portfolio
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Archive : Kaggle Masterclass – build a Machine Learning Portfolio Digital Download
Delivery : Digital Download Immediately
This career-ready Masterclass is aimed to provide you with hands-on and in-depth exposure to the area of Data Science through the use of the learn by doing method. And the greatest strategy to acquire your ideal job is to establish a project portfolio. And Kaggle is the ideal platform for a Data Scientist!
Kaggle has grown to be the most popular community for Data Scientists throughout the years. Kaggle not only helps you acquire new skills and use new methodologies, but it is also now an important part of your Data Professional job.
This course will provide you with extensive hands-on experience with a range of projects that encompass all of the components required to become a professional data scientist. You will receive hands-on experience with these components and a set of projects to represent what you have learned by completing the assignments in this course. These components are as follows:
NumPy and Pandas are used for data analysis and manipulation.
Matplotlib and Seaborn are used for exploratory data analysis.
Scikit Learn for Machine Learning
TensorFlow is used for deep learning.
Forecasting time series with Facebook Prophet.
Scikit-Time Time Series Forecasting
This course is primarily concerned with assisting you in standing out by developing a portfolio comprised of a series of Jupyter Notebooks in Python that employ Competitions and Public Datasets published on the Kaggle website. You will create a Kaggle profile to help you stand out for potential job chances.
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