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I applied via Referral and was interviewed before May 2023. There were 4 interview rounds.
180 mins of online test with camera ON. Major topics include Excel, Aptitude, Python, Statistics and Case Study
Apriori method is a popular algorithm for frequent itemset mining in data mining.
Used for finding frequent itemsets in transactional databases
Based on the concept of association rule mining
Involves generating candidate itemsets and pruning based on support threshold
Example: If {milk, bread} is a frequent itemset, then {milk} and {bread} are also frequent
Train-test split is a method used to divide a dataset into training and testing sets for model evaluation in Scikit learn.
Split the dataset into two subsets: training set and testing set
Training set is used to train the model, while testing set is used to evaluate the model's performance
Common split ratios are 70-30 or 80-20 for training and testing sets
Example: X_train, X_test, y_train, y_test = train_test_split(X, y,
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.
Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.
Evaluate the model using appropriate...
I applied via LinkedIn and was interviewed before Apr 2023. There was 1 interview round.
fbprophet is a forecasting model developed by Facebook that uses time series data to make predictions.
fbprophet is an open-source forecasting tool developed by Facebook's Core Data Science team.
It is based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.
fbprophet can be used to forecast traffic by providing historical data on traffic patterns and usi...
posted on 21 Oct 2022
I applied via Approached by Company and was interviewed in Sep 2022. There were 3 interview rounds.
I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.
Basic self evaluation test.
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
Use resampling techniques like oversampling or undersampling to balance the classes.
Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.
Adjust class weights in the model to give more importance to minority class.
Use evaluation metrics like F1 score, precision, r...
posted on 29 Dec 2024
It is nice to do work
It helps in understanding the 5
It helps a lot in company
The goal of a Data Analyst is to analyze data to extract valuable insights and make data-driven decisions.
Identify trends and patterns in data
Create visualizations to communicate findings
Provide actionable recommendations based on data analysis
I applied via Referral and was interviewed in Mar 2020. There were 5 interview rounds.
Implemented data-driven strategies to increase revenue by 15% in previous company.
Developed predictive models to optimize pricing strategies
Identified key customer segments for targeted marketing campaigns
Automated data collection and analysis processes for efficiency
Collaborated with cross-functional teams to implement data-driven decisions
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Oracle
Amdocs
Automatic Data Processing (ADP)
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