1.### What is

### What is *Scikit-Learn*, and why is it popular in the field of *Machine Learning*?

Answer:

"Huge timesaver. Worth the money"

"It's an excellent tool"

"Fantastic catalogue of questions"

Web & Mobile DevFullstack Dev

Data Structures & AlgorithmsData Structures

System DesignSystem Design

Machine Learning & Data ScienceMachine Learning

Anomaly DetectionApache SparkAutoencodersBias & VarianceChatGPTClassification AlgorithmsCluster AnalysisCNNComputer VisionCost FunctionCurse of DimensionalityData AnalystData EngineerData MiningData ProcessingData ScientistDecision TreesDeep LearningDimensionality ReductionEnsemble LearningExplainable AIFeature EngineeringGANsGenetic AlgorithmsGradient DescentHadoopJuliaK-Means ClusteringK-Nearest NeighborsKerasLightGBMLinear AlgebraLinear RegressionLLMOpsLLMsLogistic RegressionMATLABML Design PatternsMLOpsModel EvaluationNaive BayesNeural NetworksNLPNumPyOptimizationPandasPCAProbabilityPythonMlPyTorchQ-LearningRRandom ForestRecommendation SystemsReinforcement LearningRNNScalaScikit-LearnSQL in MLStatisticsSupervised LearningSVMTensorFlowTime SeriesTransfer LearningUnsupervised LearningXGBoost

Only coding challenges

- 1.
### What is

*Scikit-Learn*, and why is it popular in the field of*Machine Learning*?Answer: - 2.
### Explain the design principles behind

*Scikit-Learn’s API*.Answer: - 3.
### How do you handle

*missing values*in a dataset using*Scikit-Learn*?Answer: - 4.
### Describe the role of

*transformers*and*estimators*in*Scikit-Learn*.Answer: - 5.
### What is the typical workflow for building a

*predictive model*using*Scikit-Learn*?Answer: - 6.
### How can you

*scale features*in a dataset using*Scikit-Learn*?Answer: - 7.
### Explain the concept of a

*pipeline*in*Scikit-Learn*.Answer: - 8.
### What are some of the main categories of

*algorithms*included in*Scikit-Learn*?Answer:

- 9.
### How do you encode

*categorical variables*using*Scikit-Learn*?Answer: - 10.
### What are the strategies provided by

*Scikit-Learn*to handle*imbalanced datasets*?Answer: - 11.
### How do you split a dataset into

*training and testing sets*using*Scikit-Learn*?Answer: - 12.
### Describe the use of

`ColumnTransformer`

in*Scikit-Learn*.Answer: - 13.
### What

*preprocessing steps*would you take before inputting data into a*machine learning algorithm*?Answer: - 14.
### Explain how

`Imputer`

works in*Scikit-Learn*for dealing with*missing data*.Answer: - 15.
### How do you

*normalize*or*standardize*data with*Scikit-Learn*?Answer:

- 16.
### Explain the process of

*training*a supervised*machine learning model*using*Scikit-Learn*.Answer: - 17.
### How do you perform

*cross-validation*using*Scikit-Learn*?Answer: - 18.
### What

*metrics*can be used in*Scikit-Learn*to assess the*performance*of a*regression model*versus a*classification model*?Answer: - 19.
### Explain the

`GridSearchCV`

function and its purpose.Answer: - 20.
### What is the difference between

`.fit()`

,`.predict()`

, and`.transform()`

methods?Answer: - 21.
### How would you explain the concept of

*overfitting*, and how can it be*identified*using*Scikit-Learn*tools?Answer: - 22.
### How do you use

*Scikit-Learn*to build*ensemble models*?Answer:

- 23.
### Describe how a

*decision tree*is constructed in*Scikit-Learn*.Answer: - 24.
### Explain the differences between

`RandomForestClassifier`

and`GradientBoostingClassifier`

in*Scikit-Learn*.Answer: - 25.
### How does

*Scikit-Learn’s*handle non-linear data?`SVM`

Answer: - 26.
### Describe the

*k-means clustering process*as implemented in*Scikit-Learn*.Answer: - 27.
### How does

*Scikit-Learn*implement*logistic regression*differently from*linear regression*?Answer: - 28.
### What is a

*support vector machine*, and how can it be used for both*classification*and*regression*tasks?Answer: - 29.
### How are

*hyperparameters*tuned in*Scikit-Learn*?Answer:

- 30.
### Write a

*Python script*using*Scikit-Learn*to train and evaluate a*logistic regression model*.Answer: - 31.
### Create a

*Python function*that uses*Scikit-Learn*to perform a*k-fold cross-validation*on a dataset.Answer: - 32.
### Implement

*feature extraction from text*using*Scikit-Learn’s*.`CountVectorizer`

or`TfidfVectorizer`

Answer: - 33.
### Normalize a given dataset using

*Scikit-Learn’s preprocessing*module, then train and test a*Naive Bayes classifier*.Answer: - 34.
### Demonstrate how to use

*Scikit-Learn’s*to combine preprocessing and`Pipeline`

*model training*steps.Answer: - 35.
### Write a

*Python function*that uses*Scikit-Learn’s*and performs a`RandomForestClassifier`

*grid search*to find the best*hyperparameters*.Answer: - 36.
### Use

*Scikit-Learn*to visualize the*decision boundary*of a*SVM*with a non-linear kernel.Answer: - 37.
### Implement

*dimensionality reduction*using*PCA*with*Scikit-Learn*and visualize the result.Answer: - 38.
### Create a

*clustering analysis*on a dataset using*Scikit-Learn’s*method.`DBSCAN`

Answer:

- 39.
### How do you save a

*trained Scikit-Learn model*to*disk*and load it back for later use?Answer: - 40.
### Describe the process of

*deploying*a*Scikit-Learn model*into a production environment.Answer: - 41.
### Explain how you would

*update*a*Scikit-Learn model*with*new data*over time.Answer: - 42.
### How do you

*monitor the performance*of a*Scikit-Learn model*in production?Answer:

- 43.
### What are some of the

*limitations*of*Scikit-Learn*when dealing with very*large datasets*?Answer: - 44.
### How can you implement

*custom transformers*in*Scikit-Learn*?Answer: - 45.
### What recent

*advancements*in machine learning are not yet fully supported by*Scikit-Learn*?Answer: - 46.
### Discuss the

*integration*of*Scikit-Learn*with other popular machine learning*libraries*like*TensorFlow*and*PyTorch*.Answer: - 47.
### What role do libraries like

*joblib*play in the context of*Scikit-Learn*?Answer:

- 48.
### How would you approach building a

*recommendation system*using*Scikit-Learn*?Answer: - 49.
### Discuss the steps you would take to diagnose and solve

*performance issues*in a*machine learning model*built with*Scikit-Learn*.Answer: - 50.
### Propose a

*pipeline*for*processing*and*analyzing textual data*from social media platforms using*Scikit-Learn’s tools*.Answer:

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