An open-source framework for building cross-platform native mobile apps.
It provides a truly native user experience to there users by using the native platform’s rendering engine.
Mobile application development is a complex and very challenging task. Also, there are so many frameworks are available to develop a mobile application.
Android framework based on…
As we all know in our society: Success and relatable stories give people hope and inspiration in a different way.
People who usually afraid to take the first step or think they will definitely fail whenever they take the first step or feel unsure of embarking on a new lifestyle.
This lies in the fact that success tastes very beautiful. Success is every desirable thing which everyone craves for.
For some people, success can be attained by some sacrifice and for some, it can be achieved by putting in a lot of effort and hard work.
How so ever the…
“ Don’t lose hope. When the sun goes down, the starts come out.”
This is My Course i.e; Data Analysis with Python: Zero to Pandas, Final Course Project on Exploratory Data Analysis.
In this project, I will attempt to provide an explanation for what is probably the specific motives because of which human beings commits suicide in India (the usage of the dataset “Suicides in India”).
For this analysis, we are selecting the below dataset, which has well-categorized data of various reasons for suicides committed by people in India, along with the state, profession, and the year, when it was…
In this blog, I am going to use Machine Learning to predict the survival of Titanic passengers. I will first clarify my methodology and I plan to give an explanation as well, for those keen on getting into the field of Machine Learning.
Here is my blog for Assignment 5 — Course Project. Deep Learning with PyTorch: Zero to GANs:
In this problem, we will use real data from Titanic to calculate conditional probabilities and expectations and we’re also going to use information from the titanic.csv dataset. The dataset for this problem is taken from: https://www.kaggle.com/c/titanic/data
We will create a…
Here is my third week of Deep Learning with PyTorch: Zero to GANs.
In this blog, we will take a look at What is a neural network, What is CIFAR-10 dataset, How to develop & train a neural network model, etc.
Neural networks are a set of algorithms. These algorithms interpret the received data into real-world data that are images, sound, text, videos, and series. Neural networks are multi-layer networks of neurons that we use to classify things, make predictions, etc.
In this first blog of self-driving series, I would like to tell you about what is self-driving cars and some basic definitions.
A self-driving car (also called an autonomous car or a driverless car) is a vehicle that uses some sensors, cameras, radar, and AI to travel between one place to another without a human operator/mind.
An autonomous vehicle is more capable of sensing its environment and can easily be operated without human.
AI technologies power self-driving car systems. …
Here is my second week of Deep Learning with PyTorch: Zero to GANs.
In this blog, we will take a look at what is regression, types of regression, linear regression using PyTorch & we will learn how to train our first model.
Before getting started further we should know what is training data & why it is important to train our model?
It is the most important data which helps your machine's model to learn and make predictions. A huge number of datasets are used to train the model at the best level to get the best results.
Here is my first week of Deep Learning with PyTorch: Zero to GANs.
In just a few years, the number of applications using AI has grown tremendously, from self-driving cars to recommendations from your favorite streaming provider and chatbot.
Almost every major research field is now using AI. Behind all this, there is one technology called deep learning.
Before getting started further we should know what is deep learning exactly? What makes it so special?
Deep learning is a machine learning technique that teaches computers to do what comes to humans naturally: learn by doing & example. …