Category: Deep Learning
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Analyzing Diabetes Patterns amongst Indians, A Beginner’s Guide to Pearson’s Correlation Coefficient, Deep Learning in Cyber Security & Much More!
1. Juicing out the Diabetes Patterns amongst Indians using Machine Learning The data indicates an increase of 266% in the population of diabetics is going to be witnessed by developing countries. The score of the training model was a magnificent 100% which means it classified all the elements correctly as is evident as a result […]
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Interview with a Kaggle Master & More
1. Exclusive Interview with 2x Kaggle Master Gilles Vandewiele! “I think one of the nice things about the data science field is that it is so multi-disciplinary and that anyone who aspires to become a data scientist can do so.” – Gilles Vandewiele Golden words! As a beginner in data science, this quote gives me […]
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Top 5 Data Science & Analytics Online Courses
There is an increasing demand for data science experts in different industries today. In this data-driven economy, it is only natural for data to be a valuable asset in the efficient working of an organization. However, finding a job in this sector requires you to have a set of certain skills and some solid educational […]
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Natural Language Processing Usecases with Python
1. Master Natural Language Processing in 2022 with Best Resources As already mentioned earlier, Deep Learning is a subdomain of machine learning. It is far more generalized as it comes up with generalized predictions compared to traditional machine learning due to the introduction of Artificial Neural Networks or ANN. Practicing NLP with Deep Learning is an […]
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Basics of Data Science using Python
Basics of Data Science using Python After going through the topic above, what are the questions that come to your mind? It must be, why python? How can we use python to implement data science? And, what are the advantages and disadvantages? We will be answering all these questions and we are also going to talk about the libraries that we can use to implement data science. 1. NumPy NumPy arrays are similar to Python’s built-in list type in some ways, but NumPy arrays provide much more efficient storage and data operations as the arrays grow in size. 2. SciPy It is built on top of the Numpy library, which provides more extensions for finding scientific mathematical formulae such as Matrix Rank, Inverse, polynomial equations, LU Decomposition, and so on. 3. Pandas Pandas is a pillar library in any data science workflow because it allows you to perform data processing, wrangling, and munging. 4. Matplotlib This library is built on NumPy arrays and includes several plots such as line charts, bar charts, histograms, and so on. 5. Scikit Learn Scikit-learn is by far one of the most important Python libraries for machine learning, as it allows you to create machine learning models while also providing utility functions for data preparation, post-model analysis, and evaluation.. 6. TensorFlow TensorFlow is a software library that uses data flow graphs to perform numerical computations. 7. Keras It was created with the goal of allowing for quick experimentation .Keras is a Python library that is widely used for deep learning model training. 8. PyTorch PyTorch takes these tensors and makes it simple to move them to GPUs for faster processing during neural network training.
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Fashion Image Search Engine
Introduction Computers are able to see, hear and learn. Welcome to the future. Dave Waters In this post, I want to talk about a computer vision use case, it’s called Content Based Image Retrieval or CBIR in short. In simple words, retrieving images relevant to the user needs from image databases on the basis of low-level visual features. Image […]
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Vegetable Image Classification using CNN
Introduction The human brain has specialised visual, auditory and other sensory modules. We want to mimic these specialised modules using Artificial Neurons and want to create what is known as Artificial Intelligence. The Convolutional Neural Network or CNN helps machines to recognise visual patterns, objects, images etc. CNNs emerged from the study of the brain’s visual cortex and have been used in […]