Author: Naveen
Naveen PandeyImportant Deep learning Concept Explained Part – 1
Neuron Node is a NN, typically taking in multiple input values and generating one output value by applying an activation function (nonlinear transformation) to weighted sum of input values. Weights Edges is a NN, the goal of training is to determine the optimal weight for each feature; if weight = 0, corresponding feature does not…
Read MoreRussia-Ukraine War Data Analysis Project using Python
In this article I will take you through the task of Analyzing the Russia-Ukraine war Dataset using Python. The dataset that I am using for the task of analysis the Ukraine and Russia War is downloaded from Kaggle. You can download russia-ukraine equipment dataset from here and russia-ukraine personnel losses dataset from here. Now let’s import…
Read More3 Concepts Every Data Scientist Must Know Part – 1
Central Limit Theorem We first need to introduce the normal (gaussian) distribution for central limit theorem to make sense. Normal distribution is a probability distribution that look like a bell. X-axis represents the values and y-axis represents the probability of observing these values. The sigma values represent standard deviation normal distribution is used to represent…
Read MoreMost Common Feature Scaling methods in Machine Learning
Definition Feature scaling is the process of normalizing the range of feature in a dataset. Real-world datasets often contain features that are varying in degrees of magnitude, range and units. Therefore, in order for machine learning models to interpret these features on the same scale, we need to perform scaling. Feature scaling makes the model…
Read MoreTop 8 Deep Learning Algorithms
Convolutional Neural Networks CNN’s popularly known as ConvNets majority consists of several layers and are specifically used for image processing and detection of objects. It was developed in 1998 by Yann LeCun. CNNs have wide usage in identifying the image of the satellites, medical image processing, series forecasting, and anomaly detection. CNNs process the data…
Read MorePython Interview Questions – Part 1
1. What is the difference between indexing and slicing? Indexing is the extracting or lookup one or particular values in a data structure, whereas slicing retrieves a sequence of elements. 2. What is the lambda function? Example: X = lambda I, j: I + j Print (x(4, 6)) Output: 10 3. Explain zip() and enumerate()…
Read MoreWhat are Pickling and Unpickling?
Pickling Pickling and unpickling are terms commonly used in the context of Python programming and refer to the process of serializing and deserializing objects. In simple terms, pickling is the process of converting a Python object into a byte stream, while unpickling is the process of converting the byte stream back into a Python object.…
Read MoreWhat Advantage does the NumPy Array have over a nested list?
NumPy arrays offer several advantages over nested lists in Python. Let’s see some of the key advantages: Overall, the advantages of NumPy arrays over nested lists make them an excellent choice for numerical computations, large datasets, and scientific computing tasks, providing performance improvements and ease of use. Popular Posts
Read MoreDjango Architecture in Python
Django is a web service used to build your web pages. Its architecture is as shown: Popular Posts
Read MoreHow is Multithreading Achieved in Python?
Multithreading usually implies that multiple threads are executed concurrently. The Python Global Interpreter Lock doesn’t allow more than one thread to hold the Python interpreter at that particular point of time. So, multithreading in python is achieved through context switching. It is quite different from multiprocessing which actually opens up multiple across multiple threads. Popular…
Read MoreWhat is the difference Between a Shallow Copy and Deep Copy?
Deepcopy Deepcopy creates a different object and populates it with the child objects of the original object. Therefore, changes in the original object are not reflected in the copy. copy.deepcopy() creates a Deep Copy. Shallow copy Shallow copy creates a different object and populates it with the references of the child objects within the original…
Read MoreWhat are Literals in Python and explain about different Literals?
A literal in python source code represents a fixed value for primitive data types. There are 5 types of literals in Python- String literals A string literal is created by assigning some text enclosed in single of double quotes to a variable. To create multiline literals, assign the multiline text enclosed in triple quotes. E.g.,…
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