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Day-17: Complete EDA on Google PlayStore Apps
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Day-25: Quiz Time, Data Visualization-4
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Day-27: Data Scaling/Normalization/standardization and Encoding
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Day-30: NumPy (Part-3)
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Day-31: NumPy (Part-4)
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Day-32a: NumPy (Part-5)
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Day-32b: Data Preprocessing / Data Wrangling
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Day-37: Algebra in Data Science
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Day-56: Statistics for Data Science (Part-5)
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Day-69: Machine Learning (Part-3)
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Day-75: Machine Learning (Part-9)
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Day-81: Machine Learning (Part-15)-Evaluation Metrics
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Day-82: Machine Learning (Part-16)-Metrics for Classification
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Day-85: Machine Learning (Part-19)
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Day-89: Machine Learning (Part-23)
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Day-91: Machine Learning (Part-25)
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Day-93: Machine Learning (Part-27)
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Day-117: Deep Learning (Part-14)-Complete CNN Project
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Day-119: Deep Learning (Part-16)-Natural Language Processing (NLP)
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Day-121: Time Series Analysis (Part-1)
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Day-123: Time Series Analysis (Part-3)
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Day-128: Time Series Analysis (Part-8): Complete Project
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Day-129: git & GitHub Crash Course
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Day-131: Improving Machine/Deep Learning Model’s Performance
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Day-133: Transfer Learning and Pre-trained Models (Part-2)
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Day-134 Transfer Learning and Pre-trained Models (Part-3)
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Day-137: Generative AI (Part-3)
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Day-139: Generative AI (Part-5)-Tensorboard
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Day-145: Streamlit for webapp development and deployment (Part-1)
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Day-146: Streamlit for webapp development and deployment (Part-2)
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Day-147: Streamlit for webapp development and deployment (Part-3)
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Day-148: Streamlit for webapp development and deployment (Part-4)
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Day-149: Streamlit for webapp development and deployment (Part-5)
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Day-150: Streamlit for webapp development and deployment (Part-6)
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Day-151: Streamlit for webapp development and deployment (Part-7)
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Day-152: Streamlit for webapp development and deployment (Part-8)
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Day-153: Streamlit for webapp development and deployment (Part-9)
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Day-154: Streamlit for webapp development and deployment (Part-10)
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Day-155: Streamlit for webapp development and deployment (Part-11)
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Day-156: Streamlit for webapp development and deployment (Part-12)
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Day-157: Streamlit for webapp development and deployment (Part-13)
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How to Earn using Data Science and AI skills
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Day-160: Flask for web app development (Part-3)
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Day-161: Flask for web app development (Part-4)
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Day-162: Flask for web app development (Part-5)
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Day-163: Flask for web app development (Part-6)
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Day-164: Flask for web app development (Part-7)
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Day-165: Flask for web app deployment (Part-8)
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Day-167: FastAPI (Part-2)
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Day-168: FastAPI (Part-3)
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Day-169: FastAPI (Part-4)
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Day-170: FastAPI (Part-5)
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Day-171: FastAPI (Part-6)
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Day-174: FastAPI (Part-9)
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Six months of AI and Data Science Mentorship Program
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Exploratory Data Analysis (Basic to Advance)

This quiz will check if you have any advance knowledge of EDA

The number of attempts remaining is 5

Which method is commonly used for linear dimensionality reduction?

What does the term 'Multivariate Analysis' refer to in EDA?

Which plot is commonly used to visualize the correlation between variables?

Which plot is used to visualize the distribution of a categorical variable?

What is the primary goal of statistical inference in EDA?

What is the purpose of binning or bucketing data in EDA?

In the Titanic dataset how would you find the number of passengers who survived?

Which plot can be used to visualize the distribution of categorical data?

What is the purpose of dimensionality reduction in EDA?

What is the primary purpose of advanced visualization techniques in EDA?

Why might you use a box plot in EDA?

What is the primary goal of correlation analysis?

What does a scatter plot signify?

What is the primary goal of Linear Discriminant Analysis (LDA) in EDA?

Which method is used to identify the unique values in a column of a DataFrame?

How can you determine the strength of a relationship between two variables?

Which method is commonly used to identify the optimal number of clusters in a dataset?

Why might you perform a log transformation on a dataset?

What is the purpose of a scatter matrix plot in EDA?

Which plot is often used in time series analysis?

Which measure provides the spread of data around the mean?

What is the purpose of one-hot encoding in handling categorical data?

What is the significance of the variance in a dataset?

Which method is commonly used to impute missing values in a dataset?

Which plot is used to visualize the relationship between a numerical and a categorical variable?

What is the primary goal of feature selection in EDA?

What is the primary objective of Exploratory Data Analysis (EDA)?

Which plot is commonly used to visualize the distribution of a continuous variable?

What is the benefit of scaling data in EDA?

Why might you use logistic regression in EDA?

What does the term 'Feature Extraction' refer to in EDA?

Which method is commonly used to test the normality of a dataset?

What is the purpose of data cleaning in EDA?

What is the purpose of binning data in EDA?

What is the primary purpose of data transformation in EDA?

What is the main objective of normalization in data processing?

What is the purpose of hypothesis testing in EDA?

How can you handle imbalanced data in a dataset?

What is the alternative hypothesis in hypothesis testing?

What is the main challenge in handling categorical data in EDA?

Which method is commonly used to handle missing categorical data?

Which clustering method does not require the number of clusters to be specified a priori?

What is the significance of the median in a dataset?

What does the term 'Kurtosis' signify in a dataset?

What is the main objective of clustering in EDA?

What does the term 'Encoding' refer to in handling categorical data?

Why is outlier detection important in EDA?

Why is feature engineering important in EDA?

What is the primary goal of forecasting in time series analysis?

What is the primary goal of the Chi-square test in EDA?

What is the purpose of a Pair Plot in EDA?

Which plot is used to visualize the relationships between more than two variables?

What is the primary goal of forecasting models in time series analysis?

How can you handle missing values in time series data?

Which plot is used to visualize the distribution of a dataset?

Which measure is commonly used to understand the dispersion or spread in a dataset?

Why is time series analysis important in EDA?

Which method is commonly used to handle missing data?

What is the benefit of using a violin plot in EDA?

Why might you use a 3D plot in EDA?

Which method is commonly used for non-linear dimensionality reduction?

What does a Box Plot represent?

Which method is used to replace missing values in a dataset?

What is the primary goal of dimensionality reduction in EDA?

What does the term 'Bivariate Analysis' refer to in EDA?

What is a Quantile in a dataset?

Which method is used to calculate the correlation between variables?

What does a histogram represent?

How is the mean of a dataset calculated?

Which method is commonly used for seasonal decomposition of time series?

Which technique is commonly used for anomaly detection in time series data?

What does the term 'Outlier' signify in a dataset?

What is the purpose of data transformation in EDA?

What is the purpose of a box plot in EDA?

What does multivariate analysis allow you to do?

Which measure is used to understand the spread of a dataset?

What is the goal of anomaly detection in EDA?

Which method is commonly used for feature extraction in EDA?

What is the benefit of encoding categorical data into numerical data?

Which graph is used to display the relationship between two categorical variables?

What is the IQR (Interquartile Range) used for in EDA?

How can you describe the skewness of a dataset?

What is the null hypothesis in hypothesis testing?

Why are heatmaps used in EDA?

Which method is commonly used to calculate the covariance between variables?

What does the p-value signify in hypothesis testing?

Which method is used to calculate the correlation matrix?

Which plot is commonly used to visualize hierarchical clustering?

Which test is commonly used to compare the means of two groups?

How are missing values represented in a Pandas DataFrame?

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About Lesson

This quiz will show us if you have completed pyhton ka chilla which the pre requisite for this course or not?

Comment below your marks, 80% are the passing marks and time is 40 minutes with only 5 attempts.

 

 

Join the conversation
Muneer Iqbal 4 months ago
m
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Muhammad Hasnain 5 months ago
hi
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Muhammad Sikandar 6 months ago
dfj
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Sheikh Irfan Ullah Khan 8 months ago
First attempt 75.5% and second one is 81.11%
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Muhammad Daniyal 8 months ago
81.11% on third attempt
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Almas Sultana 8 months ago
93
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Anila Gulzar Toor 8 months ago
82%
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waqas ahmed 8 months ago
lets see
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Rida Noor 8 months ago
I got 94% in First attempt. It was quite difficult though.
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Muhammad Arslan Iftikhar 8 months ago
Assignment: Mean: Mean basically is the sum of your all observations divided by the count of your observations. Mode: When your count your observations and then divide this count by 2. The answer is Mode. Or the middle value of your series or a column in a data frame called Mode. Median: Basically Median is the value which will be present in your column by most of the times. Mean's it repeated many times in the values. It may be more than 1.
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