scikit-learn Recipes [Video]

scikit-learn Recipes

scikit-learn Recipes [Video]

English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 06m | 499 MB
eLearning | Skill level: All Levels

scikit-learn Recipes [Video]: Practical recipes for powerful data analysis with scikit-learn

Scikit-learn is one of the most powerful packages that top data scientists prefer for machine learning. Powerful data analysis and machine learning require fast, accurate computations, and scikit-learn’s packages make building powerful machine learning models super-easy!

This course is targeted at those new to scikit-learn or with some basic knowledge. You will start with generating synthetic data for building a machine learning model, pre-process the data with scikit-learn, and build various supervised and unsupervised models. You will then deep-dive into implementing various optimization techniques like cross-validation, feature selection, regularization, and also dimensionality reduction techniques.

  • Explore the most-used applications of scikit-learn used by top data scientists from around the world
  • Confidently use scikit-learn to build better machine learning models
  • Deep dive into implementing deep learning with scikit learn using neural network for faster model building and data manipulation
  • Learn to find the best model and analyze data faster with cross-validation techniques in scikit-learn
  • Manipulate and visualize data effectively to enhance computing time for mathematical operations
  • Explore the feed-forward neural networks available in scikit-learn for large datasets and better results
  • Evaluate and fine-tune the performance of your model built-in scikit-learn

By the end of this course, you will be able to build your own machine learning models and take your data analysis skills to the next level!


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