𝐏𝐲𝐭𝐡𝐨𝐧 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐏𝐫𝐞𝐩:
Must practise the following questions for your next Python interview:
1. How would you handle missing values in a dataset?
2. Write a python code to merge datasets based on a common column.
3. How would you analyse the distribution of a continuous variable in dataset?
4. Write a python code to pivot an dataframe.
5. How would you handle categorical variables with many levels?
6. Write a python code to calculate the accuracy, precision, and recall of a classification model?
7. How would you handle errors when working with large datasets?
I have curated the best interview resources to crack Python Interviews 👇👇
https://topmate.io/coding/898340
Hope you'll like it
Like this post if you need more resources like this 👍❤️
Must practise the following questions for your next Python interview:
1. How would you handle missing values in a dataset?
2. Write a python code to merge datasets based on a common column.
3. How would you analyse the distribution of a continuous variable in dataset?
4. Write a python code to pivot an dataframe.
5. How would you handle categorical variables with many levels?
6. Write a python code to calculate the accuracy, precision, and recall of a classification model?
7. How would you handle errors when working with large datasets?
I have curated the best interview resources to crack Python Interviews 👇👇
https://topmate.io/coding/898340
Hope you'll like it
Like this post if you need more resources like this 👍❤️
👍12
👍2
Python Projects & Free Books
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Read writing from Data Analytics ✨ on Medium. Data Science, SQL, Excel, Python, Power BI, Tableau & Machine Learning Best Resources: heylink.me/DataAnalytics
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Python Projects & Free Books
I’ve started sharing exclusive content on Medium all about Python, Data Analytics, and more 👇👇 medium.com/@data_analyst
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Python Project 🔥👇
Found one of the Best Project to do in Python for Data Analytics or Data Science 👇👇👇
Sales Data Analysis Project using Pandas 👇👇
https://t.iss.one/sqlproject/209
Found one of the Best Project to do in Python for Data Analytics or Data Science 👇👇👇
Sales Data Analysis Project using Pandas 👇👇
https://t.iss.one/sqlproject/209
👍5
📈 Predictive Modeling for Future Stock Prices in Python: A Step-by-Step Guide
The process of building a stock price prediction model using Python.
1. Import required modules
2. Obtaining historical data on stock prices
3. Selection of features.
4. Definition of features and target variable
5. Preparing data for training
6. Separation of data into training and test sets
7. Building and training the model
8. Making forecasts
9. Trading Strategy Testing
The process of building a stock price prediction model using Python.
1. Import required modules
2. Obtaining historical data on stock prices
3. Selection of features.
4. Definition of features and target variable
5. Preparing data for training
6. Separation of data into training and test sets
7. Building and training the model
8. Making forecasts
9. Trading Strategy Testing
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