Scikit in Machine Learning

Curriculum

19 Sections
19 Lessons
10 Weeks

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Scikit Learn - Introduction
1
- 2.1
  Scikit Learn – Introduction
Scikit Learn - Modelling Process
1
- 3.1
  Scikit Learn – Modelling Process
Scikit Learn - Data Representation
1
- 4.1
  Scikit Learn – Data Representation
Scikit Learn - Estimator API
1
- 5.1
  Scikit Learn – Estimator API
Scikit Learn - Conventions
1
- 6.1
  Scikit Learn – Conventions
Scikit Learn - Linear Modeling
1
- 7.1
  Scikit Learn – Linear Modeling
Scikit Learn - Extended Linear Modeling
1
- 8.1
  Scikit Learn – Extended Linear Modeling
Scikit Learn - Stochastic Gradient Descent
1
- 9.1
  Scikit Learn – Stochastic Gradient Descent
Scikit Learn - Support Vector Machines
1
- 10.1
  Scikit Learn – Support Vector Machines
Scikit Learn - Anomaly Detection
1
- 11.1
  Scikit Learn – Anomaly Detection
Scikit Learn - K-Nearest Neighbors (KNN)
1
- 12.1
  Scikit Learn – K-Nearest Neighbors (KNN)
Scikit Learn - KNN Learning
1
- 13.1
  Scikit Learn – KNN Learning
Scikit Learn - Classification with Naïve Bayes
1
- 14.1
  Scikit Learn – Classification with Naïve Bayes
Scikit Learn - Decision Trees
1
- 15.1
  Scikit Learn – Decision Trees
Scikit Learn - Randomized Decision Trees
1
- 16.1
  Scikit Learn – Randomized Decision Trees
Scikit Learn - Boosting Methods
1
- 17.1
  Scikit Learn – Boosting Methods
Scikit Learn - Clustering Methods
1
- 18.1
  Scikit Learn – Clustering Methods
Scikit Learn - Clustering Performance Evaluation
1
- 19.1
  Scikit Learn – Clustering Performance Evaluation
Scikit Learn - Dimensionality Reduction using PCA
1
- 20.1
  Scikit Learn – Dimensionality Reduction using PCA

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Scikit Learn – Clustering Performance Evaluation

Scikit in Machine Learning

Scikit in Machine Learning

Curriculum

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