DS_Interview_Preparation

Machine Learning

Supervised Learning

Regression

1. Linear Regression

• https://medium.com/analytics-vidhya/20-interview-questions-on-linear-regression-and-logistic-regression-ef4d341d2805
• https://medium.com/@dishitaneve/ml-interview-questions-1-1-2c14c4dcdf18

2. L1 Regularization

• https://towardsdatascience.com/l1-and-l2-regularization-methods-ce25e7fc831c

3. L2 Regularization

• https://towardsdatascience.com/l1-and-l2-regularization-methods-ce25e7fc831c

4. Decision Tree Regressor

• https://medium.com/@thedatabeast/interview-questions-for-decision-tree-7bbdcbbf2ba3

5. Random Forest Regressor

• https://medium.com/@thedatabeast/interview-questions-for-random-forest-2bf784a6d0b1

6. Gradient Boosting Regressor

• https://www.analyticsvidhya.com/blog/2022/11/top-10-interview-questions-on-gradient-boosting/

7. AdaBoost Regressor

• https://medium.com/@ktv0303/adaptive-boosting-or-adaboost-algorithm-4e8b9b372556

8. XGBoost Regressor

• https://medium.com/@thedatabeast/interview-questions-for-xg-boost-2d4c7b7f4bbf

9. KNN Regressor

• https://medium.com/@iit2020kriti/frequent-interview-questions-on-k-nn-algorithm-fb64cbdab69

Classification

1. Logistic Regression

• https://medium.com/analytics-vidhya/20-interview-questions-on-linear-regression-and-logistic-regression-ef4d341d2805

2. Decision Tree Classifier

• https://medium.com/@thedatabeast/interview-questions-for-decision-tree-7bbdcbbf2ba3

3. Random Forest Classifier

• https://medium.com/@thedatabeast/interview-questions-for-random-forest-2bf784a6d0b1

4. Gradient Boosting Classifier

• https://www.analyticsvidhya.com/blog/2022/11/top-10-interview-questions-on-gradient-boosting/

5. AdaBoost Classifier

• https://medium.com/@ktv0303/adaptive-boosting-or-adaboost-algorithm-4e8b9b372556

6. XGBoost Classifier

• https://medium.com/@thedatabeast/interview-questions-for-xg-boost-2d4c7b7f4bbf

7. KNN Classifier

• https://medium.com/@iit2020kriti/frequent-interview-questions-on-k-nn-algorithm-fb64cbdab69

8. Naive’s Bayes

• https://medium.com/codex/data-science-interview-preparation-series-part-2-naive-bayes-9b93b1bef16e

Unsupervised Learning

Clustering

1. K-Means

• https://medium.com/analytics-and-data/how-to-ace-the-k-means-algorithm-interview-questions-afe346f8fc09
• https://www.analyticsvidhya.com/blog/2021/05/20-questions-to-test-your-skills-on-k-means-clustering-algorithm/

2. DBScan

• https://www.analyticsvidhya.com/blog/2021/05/20-questions-to-test-your-skills-on-dbscan-clustering-algorithm/

3. Hierarchical Clustering

-https://www.mygreatlearning.com/blog/hierarchical-clustering/

Statistics

Descriptive Statistics

• https://medium.com/@ArtisOne/data-science-interview-questions-statistics-4a731ec0be59

Inferential Statistics

• https://towardsdatascience.com/50-statistics-interview-questions-and-answers-for-data-scientists-for-2021-24f886221271
• https://medium.com/analytics-vidhya/can-remidesivir-prove-to-be-superior-to-placebo-a-statistical-understanding-f5ac50ec09a6
• https://towardsdatascience.com/40-statistics-interview-problems-and-answers-for-data-scientists-6971a02b7eee
• https://medium.com/@thecodingcookie/hypothesis-testing-92b7270976de

Deep Learning

ANN

• https://www.analyticsvidhya.com/blog/2021/09/introduction-to-artificial-neural-networks/

CNN

• https://www.analyticsvidhya.com/blog/2021/07/convolution-neural-network-better-understanding/

RNN

• https://www.analyticsvidhya.com/blog/2023/05/top-interview-questions-for-rnn/

NLP

Text Preprocessing

Word Embedding

Model Building

Time Series Forecasting

ARIMA

Hyperparameter Tuning

• https://www.analyticsvidhya.com/blog/2022/02/a-comprehensive-guide-on-hyperparameter-tuning-and-its-techniques/