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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

by-entering-hours-in-numeric-format-calculate-student-percentage

cartonizer-the-image

cartoonify-the-image

code-practice

data-science-

This repository all about data science related theoretical and practical concept.

data-science-ml-alpha-2022

Data Science ML Alpha 2022

deep-learning

demo-p1

dermatology-image-classification

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

explainable_ai

Implementation of Class Activation Maps and Occlusion Sensitivity to explain the classification decisions of different types of skin lesions made by the CNN model trained on Human Against Machine with 10000 training images(HAM10000) skin lesion dataset

gdlnotes

Google Deep Learning Notes（TensorFlow教程）

histogram-of-image

image-processing-with-the-help-of-opencv

iris-flower-classification

lal

maan10

Config files for my GitHub profile.

machine-learing-model-train-sale-and-experience

model train by linear regression

multiple-linear-refression-model-train--

indoor , outdoor , domestic and profit attribute of the data set .where indoor, outdoor and domestic are independent variable while profit are dependent.

object-detector-like-automobile-truck-airplan-cat-dog-deer-horse-frog-totally-10-object.-

open-cv

polynomial-linear-regression-model-train-

practice-session-

python-mini-project-

skin-cancer-classification-using-cnn-deep-learning-algorithm

As skin cancer is one of the most frequent cancers globally, accurate, non-invasive dermoscopy-based diagnosis becomes essential and promising. A task of our Deep Learning CNN model is to predict seven disease classes with skin lesion images.

skin-cancer-classification-using-deep-learning

Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

tutorials

Includes data, Python files and Notebooks of tutorials published on Omdena blog

web-3.0-books

web3, Metaverse, AI, MLOps, AWS Sagemaker, Blockchain, API Token Economy, and Graph Database, And there are many books