Scikit in Machine Learning

  • Instructor: Sophie Poyet
  • Lectures: 19
  • Students: 537
  • Duration: 10 weeks

Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction via a consistence interface in Python. This library, which is largely written in Python, is built upon NumPy, SciPy and Matplotlib.

Audience

This course by Academy Europe will be useful for graduates, postgraduates, and research students who either have an interest in this Machine Learning subject or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner.

Prerequisites

The reader must have basic knowledge about Machine Learning. He/she should also be aware about Python, NumPy, Scipy, Matplotlib. If you are new to any of these concepts, we recommend you take up tutorials concerning these topics, before you dig further into this tutorial.

  • Scikit Learn - Introduction 0/1

  • Scikit Learn - Modelling Process 0/1

  • Scikit Learn - Data Representation 0/1

  • Scikit Learn - Estimator API 0/1

  • Scikit Learn - Conventions 0/1

  • Scikit Learn - Linear Modeling 0/1

  • Scikit Learn - Extended Linear Modeling 0/1

  • Scikit Learn - Stochastic Gradient Descent 0/1

  • Scikit Learn - Support Vector Machines 0/1

  • Scikit Learn - Anomaly Detection 0/1

  • Scikit Learn - K-Nearest Neighbors (KNN) 0/1

  • Scikit Learn - KNN Learning 0/1

  • Scikit Learn - Classification with Naïve Bayes 0/1

  • Scikit Learn - Decision Trees 0/1

  • Scikit Learn - Randomized Decision Trees 0/1

  • Scikit Learn - Boosting Methods 0/1

  • Scikit Learn - Clustering Methods 0/1

  • Scikit Learn - Clustering Performance Evaluation 0/1

  • Scikit Learn - Dimensionality Reduction using PCA 0/1

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Sophie Poyet is an artificial intelligence instructor and course content presenter at Academy Europe. She is an expert in instructional design and teaching. She supplements her knowledge in E-learning and Educational Technology by using AI and TTS elements.

Price

Free