100+ Exercises – Python – Data Science – scikit-learn – 2023

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Price: 19.99$

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 modelsworking with missing values, Simple Imputer classclassification, regression, clusteringdiscretizationfeature extraction Polynomial Features class Label Encoder class One Hot Encoder class Standard Scaler classdummy encodingsplitting data into train and test set Logistic Regression classconfusion matrixclassification report Linear Regression class MAE – Mean Absolute Error MSE – Mean Squared Errorsigmoid() functionentorpyaccuracy score Decision Tree Classifier class Grid Search CV class Random Forest Classifier class Count Vectorizer class Tfidf Vectorizer class KMeans class Agglomerative Clustering class Hierarchical Clustering class DBSCAN classdimensionality reduction, PCA analysis Association Rules Local Outlier Factor class Isolation Forest class KNeighbors Classifier class Multinomial NB class Gradient Boosting Regressor 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 Num Py 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.