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GBlog
Three 90 Challenge: Bigger and Better
As we transit into the new phase, it's essential to fuel our inner drive for success. On popular demand, GeeksforGeeks is happy to announce that we are back with the Thre...
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K-Means Clustering in Julia
Clustering is the task of grouping a set of objects(all values in a column) in such a way that objects in the same group are more similar to each other than to those in ot...
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Julia
Julia-Machine-learning
Julia Data-science
Type Annotations in Julia
Julia is a dynamically typed language i.e. the type of the variable need not be declared in the program statically. Along with this, it also provides a technique to commen...
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Julia
Julia Data-science
Regression with Categorical Variables in R Programming
Regression is a multi-step process for estimating the relationships between a dependent variable and one or more independent variables also known as predictors or covariat...
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R Language
R regression
Introduction to Machine Learning in Julia
Machine learning is a branch of AI which is based on feeding the data to the system, identifying the pattern, and making the decision without any explicit intervention. Th...
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Julia
Julia-Machine-learning
Reading Tabular Data from Files in Julia
Julia is a high level, high performance, dynamic programming language which allows users to load, save, and manipulate data in various types of files for data science, ana...
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Picked
Julia
julia-FileHandling
Accessing REST API using R Programming
REST(Representational state transfer) API is an architectural style that includes specific constraints for building APIs to ensure that they are consistent, efficient, and...
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R Language
R Data-science
Building REST API using R Programming
REST(Representational state transfer) API is an architectural style that includes specific constraints for building APIs to ensure that they are consistent, efficient, and...
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R Language
R Data-science
NumPy require() Method
The NumPy's require() method returns a ndarray that satisfies certain requirements.The numpy.require() method is useful for ensuring that an array has the correct flags, t...
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Python
Python-numpy
Python numpy-ndarray
Making an object jump with gravity using arcade module in Python3
The Arcade library is a modern Python Module used widely for developing 2D video games with compelling graphics and sound. Arcade is an object-oriented library. It can be ...
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Python
Python-Arcade
Python - Filter Rows with Range Elements
Given a Matrix, filter all the rows which contain all elements in the given number range.Input : test_list = [[3, 2, 4, 5, 10], [3, 2, 5, 19], [2, 5, 10], [2, 3, 4, 5, 6, ...
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Python
Python Programs
Python list-programs
Python - Calculate the percentage of positive elements of the list
Given a list, compute the percentage of positive elements in the list.Input : test_list = [4, 6, -2, 3, -8, -9, -1, 8, 9, 1]Output : 60.0Explanation : 6/10 elements are po...
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Python
Python Programs
Python list-programs
Python - Sort by Maximum digit in Element
Given a List of Elements, sort by the maximum digit of the element present in the List.Input : test_list = [234, 92, 8, 721]Output : [234, 721, 8, 92]Explanation : 4 7 8...
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Python
Python Programs
Python list-programs
Pandas - Get the elements of series that are not present in other series
Sometimes we have two or more series and we have to find all those elements that are present in one series but not in other. We can do this easily, using the Bitwise NOT o...
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Python
Python-pandas
Python pandas-series
Python program to sort matrix based upon sum of rows
Given a Matrix, perform sort based upon the sum of rows.Input : test_list = [[4, 5], [2, 5, 7], [2, 1], [4, 6, 1]]Output : [[2, 1], [4, 5], [4, 6, 1], [2, 5, 7]]Explanatio...
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Python
Python Programs
Python list-programs
Python - Remove Tuples from the List having every element as None
Given a Tuple list, remove all tuples with all None values.Input : test_list = [(None, 2), (None, None), (3, 4), (12, 3), (None, )]Output : [(None, 2), (3, 4), (12, 3)]Exp...
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Python
Python Programs
Python list-programs
Python tuple-programs
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