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

This course includes:

  • 28 mins on-demand video
  • 106 articles
  • 102 coding exercises
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Requirements

  • completion of all courses in the Python Developer learning path
  • completion of all courses in the Data Scientist learning path
  • basic knowledge of NumPy
  • basic knowledge of Pandas
  • basic knowledge of scikit-learn and machine learning concepts
  • I have courses which can assist in obtaining all the necessary skills for this course

Description

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, numpypandas 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.

Who this course is for:

  • everyone who wants to learn by doing
  • everyone who wants to improve Python programming skills
  • everyone who wants to improve data science skills
  • everyone who wants to improve machine learning skills
  • everyone who wants to prepare for an interview
  • data scientists / data analytics / machine learning engineers