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Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.
It assumes a linear relationship between the independent and dependent variables.
The goal of linear regression is to find the best-fitting line that minimi...
Random Forest is an ensemble learning method used for classification and regression tasks.
Random Forest is made up of multiple decision trees that work together to make predictions.
Each tree in the Random Forest is trained on a random subset of the training data.
The final prediction is made by averaging the predictions of all the individual trees.
Random Forest is known for its high accuracy and ability to handle large ...
They will give you some dataset from renewable domain and will ask you to forecast.
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Understanding outliers, missing values, overfitting, and underfitting in data science.
Outliers are data points that significantly differ from other data points in a dataset.
Missing values are data points that are not present in a dataset.
Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.
Underfitting occurs when a model is too simple to capture the underlying pattern in...
posted on 7 Dec 2021
I applied via Campus Placement and was interviewed before Dec 2020. There were 3 interview rounds.
posted on 29 Jun 2015
posted on 29 Jun 2015
posted on 12 Jan 2024
Key features of Python programming include simplicity, readability, versatility, and extensive libraries.
Python is known for its simple and readable syntax, making it easy to learn and understand.
It is a versatile language that can be used for various purposes such as web development, data analysis, and artificial intelligence.
Python has a vast collection of libraries and frameworks that provide ready-to-use tools for ...
Pandas is a powerful data manipulation library in Python, used for data analysis and data wrangling tasks.
Pandas is a Python library that provides data structures and functions for efficient data manipulation.
It is widely used for tasks like data cleaning, transformation, and analysis.
Pandas offers powerful tools for handling structured data, such as CSV or Excel files.
It provides functionalities like filtering, sortin...
Seaborn is a high-level interface for statistical data visualization, while Matplotlib is a low-level library for creating basic plots.
Seaborn provides a more aesthetically pleasing and informative visual representation of data compared to Matplotlib.
Seaborn has built-in themes and color palettes that make it easier to create visually appealing plots.
Matplotlib offers more flexibility and control over plot customizatio...
I applied via Referral and was interviewed before Dec 2023. There was 1 interview round.
I applied via Referral and was interviewed before Dec 2023. There were 2 interview rounds.
posted on 1 May 2024
I applied via Company Website and was interviewed before May 2023. There were 2 interview rounds.
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