We have three classes of images : 7, 8 and 9. The following codes uses VGG16 and CNN to build a model which classifies the images of 7, 8 and 9. Import necessary libraries as usual Load Data: Source of data 7_8_9 Class to load data and make targets Load data and display Vgg16 model Summary of model Function to […]
Importing Libraries Loading Data Make Class to load data for model Load data and display image Output VGG16 Model Summarize Function to train model Function to calculate Accuracy and validation loss Defining batch and function that load files batch-wise Get model and get data Train model for 5 epochs Plotting accuracy and loss Save model Confusion Matrix Open a new […]
We are trying to build a model using CNN with the help of PyTorch library that can differentiate between images of Ants and Bees. Data used in this task is available at : https://www.kaggle.com/watanabe2362/hymenoptera This process is divided into two parts: Part I : Building the model and saving it. Part II: Loading the model and using it. Part I: […]
Task: To plot all hydros of district with max hydro in province 6, Nepal Installing library Importing library Reading data of hydro powers Libraries for visualization Basic map Map with layers Map with hydros in Jajarkot with markers
https://www.nationalgeoportal.gov.np/#/metadata/98 installing required libraries Importing libraries Read The province data Plotting map Boundaries Centroid of all province Area wise colormap plot of all province
Exploring and Analyzing a Series Operation on a Series Exploring and Analyzing a Data Frame Data Grouping Data Aggregation Filtration
Checking and Handling Missing Values Reading and Cleaning CSV data Using functions to clean data Merging and Integrating Data Data for following section
A data frame is a two-dimensional tabular labeled data structure with columns of potentially different types. A data frame can be created from numerous data collections such as the following: A 1D ndarray, list, dict, or series 2D Numpy ndarray Structured or record ndarray A series Another data frame A data frame has arguments, which are an index (row labels) […]
Creating a series Output Create list from dictionary Creating Series using a Scalar Accessing a Data in Series Exploring and Analyzing a Series
Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. It is often described as a “batteries included” language due to its comprehensive standard library. import python