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I applied via Job Portal and was interviewed in Jul 2023. There was 1 interview round.
posted on 6 May 2024
PYTHON,SQL,STATS,ML,DL
I applied via Job Fair and was interviewed in May 2024. There was 1 interview round.
I have learned multiple programming languages including Python, R, SQL, and Java.
Python
R
SQL
Java
I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.
It was campus placement. We were givien the topic "future of AI and ML in automobile industry". The time given was around 15mins. The explained the process in great detail and very clearly.
I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.
I have used various algorithms such as linear regression, decision trees, and neural networks to analyze data and make predictions.
Used linear regression to predict housing prices based on various features
Implemented decision trees to classify customer behavior and recommend products
Utilized neural networks for image recognition tasks
Challenges included dealing with missing data and overfitting
Outcome was improved accu
The algorithm was chosen based on its ability to handle large datasets and its accuracy in predicting outcomes.
The algorithm was selected after evaluating its performance on similar datasets.
It was chosen for its ability to handle high-dimensional data and its scalability.
The algorithm was compared to other models and found to have the highest accuracy in predicting outcomes.
The choice of algorithm also depends on the
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.
RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.
LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.
LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.
L...
Evaluation matrices are used to assess the performance of models in data science.
Confusion matrix: used to evaluate the performance of classification models.
Precision, recall, and F1 score: measures for binary classification models.
Mean squared error (MSE): evaluates the performance of regression models.
R-squared: assesses the goodness of fit for regression models.
Area under the ROC curve (AUC-ROC): evaluates the perfo...
posted on 29 Nov 2024
I applied via Naukri.com and was interviewed before Nov 2023. There were 4 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company.
Collected and cleaned customer data including usage patterns and demographics
Used classification algorithms like Random Forest and Logistic Regression to build the model
Evaluated model performance using metrics like accuracy, precision, and recall
Math, English, reasoning
I applied via Campus Placement and was interviewed before Nov 2020. There was 1 interview round.
Diesel engine works by compressing air in the cylinder and injecting fuel at the right time to ignite the mixture.
Air is compressed in the cylinder by the piston
Fuel is injected into the cylinder at the right time
The heat generated by the compressed air ignites the fuel
The expanding gases push the piston down, creating power
Diesel engines are more efficient than gasoline engines
CC stands for carbon copy, a term used in email communication to indicate additional recipients of a message.
CC is used to send a copy of an email to someone other than the primary recipient
CC recipients are visible to all other recipients of the email
CC is often used for informational purposes or to keep others in the loop
CC can also be used to show transparency in communication
Compression ratio is the ratio of the volume of gas in a cylinder when the piston is at the bottom of its stroke to the volume of gas when the piston is at the top of its stroke.
It is a measure of how much the engine compresses the air/fuel mixture before ignition.
Higher compression ratios can lead to better fuel efficiency and more power.
Compression ratio is calculated by dividing the volume of the cylinder at bottom
Swept volume is the volume of space swept by a piston in an engine cylinder during one stroke.
It is the volume of the combustion chamber when the piston is at the bottom of its stroke subtracted from the volume of the combustion chamber when the piston is at the top of its stroke.
It is used to calculate the engine displacement.
For example, a four-cylinder engine with a 500cc swept volume has a total displacement of 2,0...
I applied via Referral and was interviewed before Sep 2021. There were 2 interview rounds.
I applied via Walk-in and was interviewed before Mar 2021. There were 2 interview rounds.
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