Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python . The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs and extract the insights you seek to derive . You will continue to build on your knowledge as you learn more about the tools you use in the course . Use lasso and ridge regression to reduce overfitting and tune a random forest model and compare performance with logistic regression . Fit a model using scikit-learn to fit a model Use Mat Plotlib to create data visualizations using the output of the data .Authentication failed. Unique API key is not valid for this user.
Who this course is for:
If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you.
