Today’s Question: How can we display the current time using #python ? #interviewprep #datascience
Today’s Question: What is a Recommendation System? #machinelearning #interviewprep #datascience
Today’s Ques: How do you decide which machine learning algorithm to use for classification problem?
Today’s Ques: What is feature engineering and how it affect ML model performance? #interviewprep
🧠 Today’s Question: What is the difference between mutable and immutable data types in programming?
Today’s Ques: How do you start the #python debugger? #interviewprep #datascience #pythonprogramming
Today’s Question: When should use Classification over regression in Machine Learning? #interviewprep
Today’s Question: Why Class Method directly operates on the class itself and not on instance?
Today’s Question: How is memory management done in #python ? #interviewprep #pythonprogramming
🧠 Today’s Question: What are the built-in data types in Python? #interviewprep #pythonprogramming
Today’s Question: What are some real-life applications of clustering algorithms? #interviewprep
Today’s Question: What is a variable in #python ? #interviewprep #datascience #pythonprogramming
Today’s Question: What is Confusion Matrix? #interviewprep #machinelearning #datascience #ai
Today’s Question: Can we pass a function as an argument in #python ? #interviewprep #datascience
Today’s Question: What are some common methods of reducing dimensionality in machine learning?
Today’s Question: What are the two main unsupervised machine learning techniques? #machinelearning
Today’s Question: What is the difference between xrange and range functions? #python #interviewprep
Today’s Ques: What is the characteristic of static method in #python ? #interviewprep #datascience
Today’s Question: What is List Comprehension? #python #interviewprep #datascience #pythonprogramming
Today’s Question: What is significance of Fourier Transform in Deep Learning? #interviewprep
Today’s Question: Why can't we use linear regression for classification task? #interviewprep
Today’s Ques: How to delete a file using #python ? #interviewprep #datascience #pythonprogramming
Today’s Question: What is slicing in #python ? #interviewprep #datascience #pythonprogramming
Today’s Question: What is the main difference between #python Array and Lists? #interviewprep
Today’s Ques: What is pruning in decision trees, and how is it done? #interviewprep #machinelearning
Today’s Ques: What is the main difference between Lasso and Ridge regression in terms of penalty?
Today’s Ques: What are Access Specifiers in #python ? #interviewprep #datascience #pythonprogramming
Today’s Ques: What’s difference between content-based & collaborative filtering in recommendations?
Today’s Ques: What is difference between @classmethod, @staticmethod & instance methods in #python ?
Today’s Question: Define encapsulation in #python . #interviewprep #datascience #pythonprogramming
Today’s Question: What is [an instance method in #python ? #interviewprep #pythonprogramming
Today’s Question: How to handle exception in #pythonprogramming ? #interviewprep #datascience
Today’s Ques: How does the Support Vector Machine Algorithm handle self-learning? #machinelearning
Today’s Question: What is F1 score and how is it calculated? #machinelearning #interviewprep
Today’s Question: What are the three main stages involved in building a Machine Learning Model?
Today’s Ques: What is the working procedure of the XGBoost model? #machinelearning #interviewprep
Today’s Ques: What’s difference between correlation & covariance in measuring variable relationships
Today’s Ques: What’s the difference between a loss & cost function, and how are they related?
Today’s Question: What is a namespace in #python ? #interviewprep #datascience #pythonprogramming
Today’s Question: What are generators in #python ? #interviewprep #pythonprogramming #datascience
Today’s Ques: What'r eigenvalues & eigenvectors, how they relate to variance & principal components?
Today’s Ques: Can conv and pooling layers replace fully connected layers to reduce overfitting risk?
Today’s Question: What are Feature Scaling Techniques? #interviewprep #machinelearning #datascience
Today’s Question: What is lambda in #python ? #interviewprep #datascience #pythonprogramming
Today’s Question: What is PYTHONPATH in #python ? #interviewprep #datascience #pythonprogramming
Today’s Quest: How can a system use reinforcement learning to play a game of chess? #interviewprep
Today’s Question: How to handle Imbalance Dataset in classification problems? #interviewprep #ai
Today’s Question: What are the key differences between PCA and t-SNE in dimensionality reduction?
Today’s Ques: What is Principal Component Analysis (PCA) & when is it typically used? #interviewprep
Today’s Ques: How well does Naive Bayes generalize, especially on small or limited training data?
Today’s Ques: How's centroid initialization affect clustering convergence, & what improve the start?
Today’s Question: What is List Comprehension? #python #interviewprep #datascience #pythonprogramming
Today’s Question: How is #python interpreted? #interviewprep #datascience #pythonprogramming
Today’s Question: What is #machinelearning ? #interviewprep #datascience #artificialintelligence #ai
Today’s Question: What is Cross-Validation in Machine Learning? #machinelearning #interviewprep
Today’s Question: What’s the purpose of projecting data onto components in dimensionality reduction?
Today’s Question: What is Confusion Matrix and how is it used in machine learning? #machinelearning
Today’s Question: What is the main difference between a for loop and a while loop in #python ?
Today’s Ques: How do we handle KNN when the K nearest neighbors belong to different classes?
Today’s Ques: What happens when independent variables highly correlated in regression & its impact?
Today’s Question: How do you handle outliers values in a dataset? #interviewprep #machinelearning
Today’s Ques: What is the main difference between Machine Learning and Deep Learning? #interviewprep
Today’s Question: What is a Zip function? #python #interviewprep #datascience #pythonprogramming
Today’s Question: How do you handle missing values in a dataset during data cleaning? #interviewprep
Today’s Question: What is Curse of Dimensionality? #interviewprep #machinelearning #datascience
Today’s Question: What is pickling and unpickling in #python ? #interviewprep #datascience
Today’s Question: What is Reinforcement Learning? #interviewprep #machinelearning #datascience
Today’s Question: How do you select PCA components that retain most of the variance in the data?
Today’s Question: What is the main difference between Sigmoid & Softmax function in #machinelearning
Today’s Ques: How to calculate a covariance matrix to understand feature relationships in a dataset?
Today’s Question: Why is it a good idea to remove highly correlated features in a dataset?
Today’s Ques: Why train a model and evaluate on a validation set after each epoch? #interviewprep
Today’s Question: How do you check the normality of a dataset? #interviewprep #machinelearning
Today’s Question: What is Polymorphism in #python ? #interviewprep #datascience #pythonprogramming
Today’s Question: How can you conclude about the model's performance using the confusion metrics?
Today’s Question: What is are the necessary assumptions for a linear regression model to be valid?
Today’s Question: What is Principal Component Analysis? #interviewprep #machinelearning #datascience
Today’s Question: How can you select the optimal value of K for K-means Clustering? #interviewprep
Today’s Question: What does the term "Naive" refer to in the context of Naive Bayes? #interviewprep
Today’s Ques: What is feature selection, how methods like mutual info & RFE identify key features?
Today’s Ques: What is the trade-off between bias and variance in machine learning? #machinelearning
Today’s Quest: What is the main difference between k-means and KNN algorithm in Machine Learning?
Today’s Question: What are the different types of kernels used in Support Vector Machine (SVM)?
Today’s Question: How do we recalculate centroids as the mean of assigned points? #interviewprep
Today’s Question: What is Linear Discriminant Analysis? #interviewprep #machinelearning #datascience
Today’s Question: What is the difference between .py and .pyc files? #python #interviewprep
Today’s Ques: What is tree pruning in XGBoost, and how it affect model performance? #interviewprep
Today’s Question: What is Stacking in #machinelearning ? how it works? #interviewprep #datascience
Today’s Question: How arguments passed by value or by reference in #python ? #interviewprep
Today’s Question: What are the main differences between K-means and KNN algorithms? #interviewprep
Today’s Question: What is Cross-Validation? Why is it used? #interviewprep #machinelearning
Today’s Question: What is primary difference between xrange and range in #python ? #interviewprep
Today’s Question: What are Support Vectors in SVM? #interviewprep #datascience #machinelearning
Today’s Question: What is KNN Imputer and how does it work in imputing missing values in a dataset?
Today’s Question: How does One-Class SVM detect anomalies using only normal data? #interviewprep
Today’s Question: What is the different types of mapping objects in #python ? #interviewprep
Today’s Ques: What'r Parametric & Non-Parametric Models, and how they differ in predicting new data?
Today’s Question: What is overfitting in machine learning & how can it be avoided? #interviewprep
Today’s Ques: What is the balanced cluster assumption in clustering, & how can it bias the results?
Today’s Question: What are Ensemble Learning Methods? #interviewprep #machinelearning #datascience
Today’s Ques: How combining or splitting features boost a #machinelearning model’s predictive power?
Today’s Question: How does Amazon use purchase data to recommend other products to customers?
Today’s Question: Explain Support Vector Machines (SVM) #interviewprep #machinelearning #datascience