import pandas as pd # Read the CSV file into a pandas DataFrame data = pd.read_csv('data.csv') # Handle missing values data.dropna(inplace=True) # Handle outliers for column in data.columns: data[column] = handle_outliers(data[column]) # Encode categorical variables for column in data...
Data analysts don’t regularly need to write algorithms. But when they do, it might be something that can help them in data analysis. This data analyst interview question is such an example because it asks you to find the closest sum to the target. This or something similar is done using...
Statistical Methods:Identify outliers based on statistical properties such as mean and standard deviation. For example, values that are more than 3 standard deviations from the mean can be considered outliers.pythonCopy codeimport numpy as np mean = np.mean(data) std_dev = np.std(data) outliers...
Section 4: Python DataFrame Interview Questions Lecture 7 Python Interview Questions – DataFrame This course discuss some of the tricky coding interview questions, most commonly asked for Data Analyst job interviews. These are also asked for Data Scientist/ data engineer interviews in the preliminary ...
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10. Data Structures & Algorithms in Java by Great Learning Tips to Choose the Best Online Java Course Conclusion Frequently Asked Questions About Java Courses Q.1: Can I get Java certification for free? Q.2: Will Java Certification get me a job? Q.3: What is the highest-paid job in Ja...
They may also collaborate with technical and product managers to help ensure that the software they develop meets a client's needs. Strong communication and collaboration proficiencies are essential for success in this role.Related: Interview Questions And Answers For A Python Developer...
3. Interview the Talent Pick the right-fit talent for your project to interview, test their skills, and know their approaches to work on your project. 4. Onboard & Begin the Project Once you find your right-fit talent, we’ll help you remotely onboard, begin the project, and provide ...
Whether you are optimizing the problems, analyzing the data, or solving complex data structure problems, arrays are worth mastering. Further, check out our offers for Python training Courses and also refer to the trending Python developer interview questions prepared by industry experts. FAQs on ...
where can I get my questions answered? How to report an issue on the website?01-What is Machine Learning Model 02-Data in ML (Garbage in Garbage Out) 03-Types of ML problems 04-Types of ML Problems Part 2 05-Types of ML Problems Part-3 06-Sales and Marketing Use Cases 07-...