Jupyter Notebook is a powerful tool that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is widely used in data science, scientific research, and education. In this article, we will discuss how to install Jupyter Notebook on Windows and Mac systems Installing Jupyter Notebook on Windows […]
Python is a high-level, general-purpose programming language that is widely used for web development, data analysis, machine learning, artificial intelligence, and scientific computing. It is a popular language among developers due to its simplicity and ease of use. In this article, we will discuss how to install Python on Windows and Mac systems. Installing Python […]
Machine Learning is an interdisciplinary field drawing from various information sciences such as computer science, statistics, mathematics, and engineering. According to Tom Mitchell, the author of Machine Learning, it is “the field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience.” This short definition is […]
As technology continues to advance at a rapid pace, businesses are generating and storing more data than ever before. However, data is only valuable if it can be analyzed and turned into insights that can inform decision-making. This is where data scientists come in. Data scientists are professionals who specialize in the analysis and interpretation […]
Accuracy is something which gives an intuition of model performance. i.e. ratio of number of correct predictions with respect to total sample present. But what in case of unbalanced data.Imagine a case where we need to make a model to predict click through rate over a display rate. The click trough rate used to be […]
Accuracy is something which gives an intuition of model performance. i.e. ratio of number of correct predictions with respect to total sample present. But what in case of unbalanced data.Imagine a case where we need to make a model to predict click through rate over a display rate. The click trough rate used to be […]
Logistic Regression is a method to create Machine Learning model for two class problems. It came out of linear regression but used to generate binary output (0 and 1) for making classifications. For example In Linear Regression we use simple linear equation as follows :- Yh = b0 + b1X1 Where X combines linearly with […]
I am writing this article in the amid of Covid 19 outbreak. Lot many people are suffering of this diseases and lot many lost their life. Social distancing is one of the key that people are using to avoid this disease as much as possible. As well as mask and sanitisers becomes our daily need. […]
Here we will develop a deep learning model using CNN VGG-16 architecture to predict about Pneumonia using any chest x-ray image with more then 95% of accuracy. With continuous growth in the field of AI and Machine Learning It is stepping into almost every section of industry. In healthcares sector a lot of analysis can […]
If we have limited amount of Data, We can diversify it using data augmentation. It is like instead of collecting new data elements we just transform which is already there to increase the sample size along with diversity. We will consider unstructured data i.e. Image data for augmentation process.
