Classroom course

Python for data science


classroom course

Python for data science


REQUEST INFORMATION
Price
533 € + VAT

Duration
16 hours

Date:
May 30TH- 31ST

Qualification obtained
Certificate

Course code
AGSAI002

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Python is a programming language used in multiple scientific contexts and corporate. Python supports several paradigms of programming, such as the object-oriented paradigm, imperative and functional and turns out to be ideal for making Machine Learning applications.

Who is it for?

The course is aimed at:

Anyone who already knows the basics of python and wants to deepen its use in machine learning.

Objective
In the advanced course the most acquainted libraries and the implementation of some of the most important algorithms will be presented.
Program
PHYTON PER DATA SCIENCE

Introduction to using python for Data Science.

  • 1. Numpy
  • 2. Pandas
    • 2.1 Series, DataFrame
    • 2.2 Operations on DataFrames
  • 3. Matplolib
    • 3.1 Plotting fundamentals
    • 3.2 Dispersion charts
    • 3.3 Line charts
    • 3.4 Bar charts
    • 3.5 Histograms
    • 3.6 Box plot
    • 3.7 Heatmaps
  • 4. Seaborn
  • 5. Introduction to ML (theory)
  • 6. Scikit-learn
    • 6.1 K-nearest neighbors
    • 6.2 Linear regression
    • 6.3 Logistic regression
    • 6.4 SVM
    • 6.5 Naive Bayes
    • 6.6 Decision trees
    • 6,7 Random Forests (ensemble learning, boosting, bagging)
    • 6.8 Clustering
  • 7. Valutazione dei modelli
    • 7.1 Matrice di confusione
    • 7.2 Curva ROC, precision e recall
Classroom and safety rules
To comply with Covid safety regulations, the classroom will be equipped with special filtering systems special air filtering systems and participation will be limited to a maximum of 8 participants with a green pass. The course will be confirmed upon reaching the minimum number of 4 participants.

Python is a programming language used in multiple scientific contexts and corporate. Python supports several paradigms of programming, such as the object-oriented paradigm, imperative and functional and turns out to be ideal for making Machine Learning applications.

Who is it for?

The course is aimed at:

Anyone who already knows the basics of python and wants to deepen its use in machine learning.

Objective
In the advanced course the most acquainted libraries and the implementation of some of the most important algorithms will be presented.
Program
PHYTON PER DATA SCIENCE

Introduction to using python for Data Science.

  • 1. Numpy
  • 2. Pandas
    • 2.1 Series, DataFrame
    • 2.2 Operations on DataFrames
  • 3. Matplolib
    • 3.1 Plotting fundamentals
    • 3.2 Dispersion charts
    • 3.3 Line charts
    • 3.4 Bar charts
    • 3.5 Histograms
    • 3.6 Box plot
    • 3.7 Heatmaps
  • 4. Seaborn
  • 5. Introduction to ML (theory)
  • 6. Scikit-learn
    • 6.1 K-nearest neighbors
    • 6.2 Linear regression
    • 6.3 Logistic regression
    • 6.4 SVM
    • 6.5 Naive Bayes
    • 6.6 Decision trees
    • 6,7 Random Forests (ensemble learning, boosting, bagging)
    • 6.8 Clustering
  • 7. Valutazione dei modelli
    • 7.1 Matrice di confusione
    • 7.2 Curva ROC, precision e recall
Classroom and safety rules
To comply with Covid safety regulations, the classroom will be equipped with special filtering systems special air filtering systems and participation will be limited to a maximum of 8 participants with a green pass. The course will be confirmed upon reaching the minimum number of 4 participants.
REQUEST INFORMATION
Price
533 € + VAT

Duration
16 hours

Date:
May 30th- 31st

Qualification obtained
Certificate

Course code
AGSAI002

subscribe