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Courses
Data Science And Machine Learning
Data Analysis
Data Analysis
Last Updated: Jan 10, 2022
Go to Problems
Contents
Level 1
Probability
Random Variables
Conditional Probability
Bayes Theorem
Probability Distributions
Go to problems
Jump to Level 2
Level 2
Inferential Statistics
Central Limit Theorem
Multivariate analysis
Estimation and Sampling
Hypothesis Testing
Go to problems
Descriptive Statistics
Measure of Central Tendency
Measures of Variability
Univariate Analysis
Go to problems
Jump to Level 3
Level 3
Data Analysis
Numpy
Pandas
OpenCV
Matplotlib
Web Scraping
EDA
Go to problems
Contents
0/7
Vector analysis (NumPy)
find the one
2:36 Mins
30 Pts
choose the output
4:01 Mins
30 Pts
python broadcasting
5:22 Mins
30 Pts
How not to retrieve?
5:00 Mins
30 Pts
Fill Infinite
3:15 Mins
30 Pts
Duplicates detection
23:01 Mins
50 Pts
Row-wise unique
26:05 Mins
50 Pts
0/6
Data handling (pandas)
For 'series'
4:58 Mins
30 Pts
drop axis
1:49 Mins
30 Pts
Rename axis
2:18 Mins
30 Pts
iloc vs loc part I
1:44 Mins
30 Pts
As a Series
19:40 Mins
50 Pts
Max registrations they asked?
47:46 Mins
50 Pts
0/5
Basic Computer Vision (opencv)
Which library it is?
0:52 Mins
30 Pts
Image dimensions
1:40 Mins
30 Pts
Dimension with components
1:21 Mins
30 Pts
Color interpretation
1:59 Mins
30 Pts
Image cropping
2:28 Mins
30 Pts
0/5
Data Visualization (matplotlib)
2d graphics
0:46 Mins
30 Pts
Suitable plot type
1:21 Mins
30 Pts
Subplot Coordinates
4:10 Mins
30 Pts
Vertically Stacked Bar Graph
3:41 Mins
30 Pts
Load RGB
2:28 Mins
30 Pts
0/5
Web scraping basics
What does the code do?
2:36 Mins
30 Pts
Retrieval protocol
1:45 Mins
30 Pts
2-way communication
0:57 Mins
30 Pts
Search engine process
1:32 Mins
30 Pts
What does the code print?
1:22 Mins
30 Pts
0/2
EDA
PCA's secondary objective
1:44 Mins
30 Pts
Five number theory
1:35 Mins
30 Pts
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