This is the whole series about data science concepts. This is the first blog about data scrapping or we can say the Data gathering process in data science. Make Sure to Follow me so that you can update with this following series.
When Something is Important Enough, You do it even if odds are not in your favor.
This blog is basically for basic data scraping from website data. Data Science is all about working with data. So one of the most parts of data science is data gathering. So here we scrape data from a webpage…
“Our intelligence is what makes us human, and AI is an extension of that quality.”
Yann LeCun Professor, New York University
This blog is all about how AI will generate a bunch of text lines from a given input sequence. For text generation, we are using two things in python. As a language model, we are using GPT-2 Large Pre-trained model and for the Text Generation pipeline, we are using Hugging Face Transformers pipelines.
GPT-2 is a large transformer-based language model with 1.5 billion parameters, trained on a dataset of 8 million web pages. GPT-2 is trained…
Machine learning, Deep learning, and Artificial intelligence are the Future. We use these technologies in almost every field. In the Farming sector, we can also use this technology for the Preparation of soil, adding fertilizers, sowing of seed, Irrigation, weed protection, harvesting, disease prediction, etc.
Read Full Blog AI In Agriculture.
We are using Deep Learning for Plant disease detection based on images of a leaf of a plant. We are using deep learning for this task because here we are working with image data. …
Recognizing handwritten text is a problem that can be traced back to the first automatic machines that needed to recognize individual characters in handwritten documents. Think about, for example, the ZIP codes on letters at the post office and the automation needed to recognize these five digits. Perfect recognition of these codes is necessary in order to sort mail automatically and efficiently. Included among the other applications that may come to mind is OCR (Optical Character Recognition) software. …
In this project, we are doing hypothesis testing on whether the dataset and trying to prove that hypothesis is correct or not. We are also doing some data cleaning techniques, Data visualization, and hypothesis testing.
A hypothesis is a function that best describes the target in supervised machine learning. In simple language, we make one function and try on our inputs and targets if that matches then our hypothesis is accepted otherwise it is rejected.
More Details here: Link
Hypothesis for this project: The Null Hypothesis H0 is “Has the Apparent…
In this modern world, data is very important and by the 2020 year, 1.7 megaBytes data generated per second. So there are many technologies that change the world by this large amount of data. Machine learning is one of them and we are using this technology to detect fake news.
Machine learning is an application of AI which provides the ability to system to learn things without being explicitly programmed. Machine learning works on data and it will learn through some data. Machine learning is very different from the traditional approach. In, Machine learning we fed the data…
Overview of Deep Learning:
Deep learning and Machine learning are the most progressive technologies in this era. Artificial intelligence is now compared with the human mind and in some field AI doing a great job than humans. Day by day there is new research in this field. This field is increasing very fast because now we have sufficient computational power for doing this task. Deep learning is a branch of machine learning that uses neural networks with many layers.
In traditional machine learning, the algorithm is given a set of relevant features to analyze. However, in deep learning, the algorithm…