Load and Prepare Data:pythonCopy code# Assuming X and y are your features and target variable X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0) Create and Train the Model:pythonCopy codemodel = LinearRegression() model.fit(X_train, y_train)...
Let me know if you know someone who made it in data science without Python. In the last 20 years, that is. To help you practice Python and interviewing skills, I selected three Python coding interview questions. Two are fromStrataScratch, and are the type of questions that require using Py...
Apart from the degree/diploma and the training, it is important to prepare the right resume for a data science job and to be well versed with the data science interview questions and answers. Consider our top 100 Data Science Interview Questions and Answers as a starting point for your data ...
The role of a data scientist involves data cleaning, analysis, building Machine Learning models, and presenting insights using tools like Python, R, Power BI, Tableau and others. How to Prepare for a Data Science Interview For cracking a data science interview, you need to have strong ...
1 With which programming languages and environments are you most comfortable working? 2 What are some pros and cons about your favorite statistical software? 3 Tell me about an original algorithm you’ve created. 4 Describe a data science project in which you worked with a substantial programming...
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The 120 questions of Data Science related position Interview Predictive Modeling Part 1. (Given a Dataset) Analyze this dataset and give me a model that can predict this response variable. PAIR 留学:大数据支撑下的导师制留学咨询 2. What could be some issues if the distribution of the testdata...
For more information, see the article:Data science, data understanding and preparation – grouping and aggregating data Q24: How do you aggregate data in Python? In Python, you use the pandas aggregations on the data frames. A pandas data frame has thedescribe()method, which gives you an...
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