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Suppose we have two arrays, one is nums and another one is primes. We have to check whether it is possible to make all the elements of nums equal by multiplying one or more prime numbers from primes array.So, if the input is like nums = [25, 100] primes = [2, 5], then the output will be True as we can multiply 25 with 2 twice to get 100 then all elements are same.To solve this, we will follow these steps −lcm_arr := LCM of all elements in numsfor i in range 0 to size of nums - 1, doval ... Read More
Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.It has optimization techniques that help in performing complicated mathematical operations quickly.This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with deep neural network. It is highly scalable, and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of machine ... Read More
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web−based dashboards.Visualizing data is an important steps since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations.Bokeh can be easily used in conjunction with NumPy, Pandas, and other Python packages. It can be used to produce interactive plots, dashboards, and so on.It helps in communicating the quantitative insights to the audience effectively.Bokeh converts the data source ... Read More
Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly. This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’.The framework supports working with a deep neural networks. It is highly scalable and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude ... Read More
Time series, as the name suggests, is data that contains certain time periods or time stamps. It contains observations over certain time period. This kind of data tells us about how variables change over time based on various factors. Time series analysing and forecasting can be used to predict data with respect to some future time.Univariate time series contains values taken with respect to a single variable at certain time instances over a period of time. A multivariate time series contains values taken with respect to multiple variables at same periodic instances of time.Time series consists of 4 components that ... Read More
Suppose we have an array called nums. We have to check whether it is possible to rearrange the elements of nums such that it follows the condition −So, if the input is like nums = [8, -4, 4, -8], then the output will be True as if we arrange the array like [-4, -8, 4, 8] for i = 0, nums[2*0 + 1] = 2 * (-4) = -8 for i = 1, nums[2*1 + 1] = 2 * 4 = 8To solve this, we will follow these steps −freq := a map containing elements of nums and their frequenciesfor ... Read More
Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.The ‘tensorflow’ package can be installed on Windows using the below line of code −pip install tensorflowTensor is a data structure used in TensorFlow. It helps connect edges in a flow diagram. This flow diagram is known as the ‘Data flow graph’. Tensors are nothing but a multidimensional array or a list.We are using Google Colaboratory to run the below code. Google ... Read More
Matplotlib is a popular Python package that is used for data visualization. Visualizing data is an important steps since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. It helps in communicating the quantitative insights to the audience effectively.Matplotlib is used to create 2 dimensional plots with the data. It comes with an object oriented API that helps in embedding the plots in Python applications. Matplotlib can be used with IPython shells, Jupyter notebook, Spyder IDE and so on. It is written in Python. It is created using Numpy, ... Read More
Matplotlib is a popular Python package that is used for data visualization. Visualizing data is an important steps since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. It helps in communicating the quantitative insights to the audience effectively.Matplotlib is used to create 2 dimensional plots with the data. It comes with an object oriented API that helps in embedding the plots in Python applications. Matplotlib can be used with IPython shells, Jupyter notebook, Spyder IDE and so on.It is written in Python. It is created using Numpy, which ... Read More
Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications, and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly.This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with deep neural networks. It is highly scalable and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of ... Read More