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

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

Welcome to the 100+ Exercises - Python - Data Science - scikit-learn course 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

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.

Stack Overflow Developer Survey

According to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language with NumPy being the second most used tool in the "Other Frameworks and Libraries" category. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.

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

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What you will learn

• solve over 100 exercises in numpy, pandas and scikit-learn
• deal with real programming problems in data science
• work with documentation and Stack Overflow

Rating: 4.55

Level: Beginner Level

Duration: 1 hour

Instructor: Paweł Krakowiak