The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
In this project, we will be working on extracting text from images. After extracting the text we will apply some basic functions of opencv on that text to enhance it and to get more accurate results. This project will be very useful as it will save time and effort of typing from an image.
Examples of linear regression.
This Dog Breed Classification model employs TensorFlow 2.0 and Transfer Learning with ResNet50v2 to accurately identify 70 different dog breeds from images, demonstrating the power of deep learning in image classification tasks.
Web Scraper using Python
This repository contains a python notebook that creates Table-1: baseline characteristics with p-values comparing two groups. Greatly helpful for clinical and biological studies. Can be used for manuscipts.
A simple command-line tool for converting Python scripts to Jupyter notebooks and vice versa.
Naive Bayes (From Scratch)
A well structured practical deep dive into functional programming in NumPy.
Python notebook collection about Data Science and Machine Learning. Data science course assignments from Sanberode Indonesia
An analysis of a dataset of borrowers, EDA and identification of dependences between debts and other features.
My .IPYNB notebooks made while learning PyTorch.
Performing Eda and trying different Models to predict Species of Flower in Iris Dataset
Demonstration of use of SCORE_FIELD with Redis Search scoring
Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy
100 Days of ML Coding 繁中ipynb 自學
Vault of projects because I was ililterate of using GitHub
This repository contains code for classfying images from KAN based VGG11 model with prototypical networks.
This is where I stash my Python study material.
Ejercicios de Matemática Aplicada 2024_2_PV_MAT2121_24220631_PCT
Bayesian Classifier for filtering the spam messages implemented in Python.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 3 months ago