• Autor de la entrada:
  • Categoría de la entrada:Cupones / Cursos
Anuncios


Improve your machine learning skills and solve over 100 exercises in python, numpy, pandas and scikit-learn!

——————————————————————————

RECOMMENDED LEARNING PATH

——————————————————————————

PYTHON DEVELOPER:

  • 200+ Exercises – Programming in Python – from A to Z

  • 210+ Exercises – Python Standard Libraries – from A to Z

  • 150+ Exercises – Object Oriented Programming in Python – OOP

  • 150+ Exercises – Data Structures in Python – Hands-On

  • 100+ Exercises – Advanced Python Programming

  • 100+ Exercises – Unit tests in Python – unittest framework

  • 100+ Exercises – Python Programming – Data Science – NumPy

  • 100+ Exercises – Python Programming – Data Science – Pandas

  • 100+ Exercises – Python – Data Science – scikit-learn

  • 250+ Exercises – Data Science Bootcamp in Python

  • 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases

  • 250+ Questions – Job Interview – Python Developer


SQL DEVELOPER:

  • SQL Bootcamp – Hands-On Exercises – SQLite – Part I

  • SQL Bootcamp – Hands-On Exercises – SQLite – Part II

  • 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases

  • 200+ Questions – Job Interview – SQL Developer


JOB INTERVIEW SERIES:

  • 250+ Questions – Job Interview – Python Developer

  • 200+ Questions – Job Interview – SQL Developer

  • 200+ Questions – Job Interview – Software Developer – Git

  • 200+ Questions – Job Interview – Data Scientist


——————————————————————————

COURSE DESCRIPTION

——————————————————————————

100+ Exercises – Python – Data Science – scikit-learn

Welcome to the course 100+ Exercises – Python – Data Science – scikit-learn where you can test your Python programming skills in machine learning, specifically in scikit-learn package.


Topics you will find in the exercises:

  • preparing data to machine learning models

  • working with missing values, SimpleImputer class

  • classification, regression, clustering

  • discretization

  • feature extraction

  • PolynomialFeatures class

  • LabelEncoder class

  • OneHotEncoder class

  • StandardScaler class

  • dummy encoding

  • splitting data into train and test set

  • LogisticRegression class

  • confusion matrix

  • classification report

  • LinearRegression class

  • MAE – Mean Absolute Error

  • MSE – Mean Squared Error

  • sigmoid() function

  • entorpy

  • accuracy score

  • DecisionTreeClassifier class

  • GridSearchCV class

  • RandomForestClassifier class

  • CountVectorizer class

  • TfidfVectorizer class

  • KMeans class

  • AgglomerativeClustering class

  • HierarchicalClustering class

  • DBSCAN class

  • dimensionality reduction, PCA analysis

  • Association Rules

  • LocalOutlierFactor class

  • IsolationForest class

  • KNeighborsClassifier class

  • MultinomialNB class

  • GradientBoostingRegressor class


Anuncios

This course is designed for people who have basic knowledge in Python, numpy, pandas and scikit-learn. It consists of over 100 exercises with solutions.

This is a great test for people who are learning machine learning and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.


If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today.

100+ Exercises – Python – Data Science – scikit-learn – 2022

Improve your machine learning skills and solve over 100 exercises in python, numpy, pandas and scikit-learn!”

Este curso se encuentra de manera gratuita gracias a un cupón que podrás encontrar aquí abajo.

Toma en cuenta que este tipo de cupones duran por muy poco tiempo.

Si el cupón ya ha expirado podrás adquirir el curso de manera habitual.

Este tipo de cupones duran muy pocas horas, e incluso solo minutos después de haber sido publicados.

Debido a una actualización de Udemy ahora solo existen 1,000 cupones disponibles, NO nos hacemos responsables si el cupón ya venció.

Para obtener el curso con su cupón usa el siguiente botón:


Deja tus comentarios y sugerencias


Sobre Facialix

Facialix es un sitio web que tiene como objetivo apoyar en el aprendizaje y educación de jóvenes y grandes. Buscando y categorizando recursos educativos gratuitos de internet, de esta manera Facialix ayuda en el constante aprendizaje de todos.


Deja una respuesta

Este sitio usa Akismet para reducir el spam. Aprende cómo se procesan los datos de tus comentarios.