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5s,3r,4m is a code used in lean manufacturing for workplace organization and efficiency.
5s stands for Sort, Set in Order, Shine, Standardize, and Sustain
3r stands for Remove, Replace, and Repair
4m stands for Man, Machine, Material, and Method
These codes are used to improve productivity, safety, and quality in the workplace
Torque is a measure of the twisting force that causes rotation.
Torque is a vector quantity that is calculated as the product of force and the distance from the axis of rotation.
It is measured in units of Newton-meters (Nm) or pound-feet (lb-ft).
Torque is important in many fields, including engineering, physics, and mechanics.
Examples of torque include the force applied to a wrench to tighten a bolt, or the force applie...
Air is measured in units of pressure, volume, and density.
Pressure is measured in units such as pascals (Pa), pounds per square inch (psi), or atmospheres (atm).
Volume is measured in units such as cubic meters (m³), liters (L), or cubic feet (ft³).
Density is measured in units such as kilograms per cubic meter (kg/m³) or pounds per cubic foot (lb/ft³).
The least count of a Bernier caliper is typically 0.02 mm.
The least count refers to the smallest measurement that can be read on the instrument.
Bernier calipers are commonly used in mechanical engineering and machining.
The least count of a Bernier caliper can vary depending on the specific model and manufacturer.
For example, some Bernier calipers may have a least count of 0.05 mm or 0.1 mm.
To determine the least count ...
7QC stands for Seven Quality Control Tools, a set of techniques used for process improvement and problem-solving.
The 7QC include: Pareto chart, cause-and-effect diagram, check sheet, control chart, histogram, scatter diagram, and flowchart.
These tools help identify and analyze problems, determine root causes, and develop solutions.
For example, a Pareto chart can be used to identify the most common causes of defects, wh...
GD&T symbol stands for Geometric Dimensioning and Tolerancing symbol.
GD&T symbols are used to specify the geometric requirements of a part or assembly.
They include symbols for features such as flatness, perpendicularity, and concentricity.
GD&T symbols help ensure that parts are manufactured to the correct specifications and fit together properly.
Examples of GD&T symbols include the concentricity symbol (a circle within...
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I applied via Campus Placement and was interviewed in Feb 2024. There was 1 interview round.
I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 4 interview rounds.
Gradient Boost is a machine learning technique that builds models in a sequential manner, where each new model corrects errors made by the previous one.
Gradient Boost combines multiple weak learners to create a strong learner.
It focuses on reducing the errors made by the previous models by giving more weight to the misclassified data points.
Popular implementations include XGBoost, LightGBM, and CatBoost.
Gradient Boost ...
Evaluation metric selection is crucial for assessing the performance of a machine learning model.
Consider the specific problem domain and objectives of the model
Choose metrics that align with the business goals
Select metrics that are easy to interpret and communicate
Balance between different metrics to get a comprehensive view of model performance
Examples of evaluation metrics include accuracy, precision, recall, F1 sc
I applied via Approached by Company and was interviewed in May 2022. There were 4 interview rounds.
eVar is a conversion variable that captures values at the time of conversion, while prop is a traffic variable that captures values at the time of page view.
eVar captures values at the time of conversion, while prop captures values at the time of page view.
eVar is used to track conversion events, while prop is used to track traffic events.
eVar is persistent across visits, while prop is not.
Example: eVar can capture the...
Clustering is grouping similar data points together while classification is assigning labels to data points based on their features.
Clustering is unsupervised learning while classification is supervised learning.
Clustering algorithms include K-means, hierarchical clustering, and DBSCAN.
Classification algorithms include decision trees, logistic regression, and support vector machines.
Clustering is used for customer segm...
posted on 13 Oct 2023
I applied via Approached by Company and was interviewed before Oct 2022. There were 4 interview rounds.
I applied via Approached by Company and was interviewed before Jun 2022. There were 3 interview rounds.
I applied via Referral and was interviewed in Dec 2021. There was 1 interview round.
I applied via Other and was interviewed in May 2021. There was 1 interview round.
Assistant Engineer
6
salaries
| ₹2.2 L/yr - ₹3 L/yr |
Quality Engineer
3
salaries
| ₹1.5 L/yr - ₹3 L/yr |
Deputy Engineer
3
salaries
| ₹3.2 L/yr - ₹3.5 L/yr |
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