maneaajay Goto Github PK

a-crnn-model-for-text-recognition-in-keras

analysis-and-prediction-of-diabetes-disease

1.Diabetes is considered as one of the deadliest and chronic diseases which causes an increase in blood sugar.2. Many complications occur if diabetes remains untreated and unidentified. 3.The tedious identifying process results in visiting of a patient to a diagnostic center and consulting doctor. But the rise in machine learning approaches solves this critical problem.4. The motive of this study is to design a model which can prognosticate the likelihood of diabetes in patients with maximum accuracy. Therefore three machine learning classification algorithms namely Decision Tree, SVM and Naive Bayes are used in this experiment to detect diabetes at an early stage.5. Experiments are performed on Pima Indians Diabetes Database (PIDD) which is sourced from UCI machine learning repository.6. The performances of all the three algorithms are evaluated on various measures like Precision, Accuracy, F-Measure, and Recall. Accuracy is measured over correctly and incorrectly classified instances. Results obtained show Naive Bayes outperforms with the highest accuracy of 76.30% comparatively other algorithms. These results are verified using Receiver Operating Characteristic (ROC) curves in a proper and systematic manner.

analysis-and-prediction-of-diabetes-diseases-using-machine-learning-

1.Diabetes is considered as one of the deadliest and chronic diseases which causes an increase in blood sugar. Many complications occur if diabetes remains untreated and unidentified.

applied_ai_course_notes

Applied Artificial intelligence Course from Online course Notes

arshadowgan

arshadowgan-like

ARShadowGAN-like realization. PyTorch.

automated_attendance_system

A Desktop Application built using PyQt and OpenCV

background_removal_dl

Files for Image and Video Background Removal using U-2-net model

backgroundremover

BackgroundRemover lets you Remove Background from images and video with a simple command line interface

basic-data-exploration

breast_cancer_classification-

Breast cancer classification using kaggle datasets. To get much more accuracy tried one or more models.

car

churn

deepplastic

Detecting and Quantifying Marine Debris using Deep Visual Models.

demo-loan-prediction

detecting_social_distancing_violation

detecto

Build fully-functioning computer vision models with PyTorch

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

ds_ml_tutorial_notebooks

ds_ml_tutorial_notebooks1

ds_ml_tutorial_notebooks_jupyter

Data science and Machine Learning Jupyter Notebooks what i Practiced!!

election-survey-2019-a-data-science-approach-

1.To identify the Election problems to help Candidate 2. develop accurate Prediction system. 3.To predict the trend of election Result by analyzing the existing dataset.

face-detection

face_mask_detector

Deep Learning Project (Computer Vision).

fire_detection_with_send_email-alarm

Fire-Detection-System-in-python This system can detect fires on video frames. I have used HSV algorithm to track fires in images and video. This system has three main features such as Detect fire in video frame, Turn on alarm sound, and then, It will send emails to fire engine services

flood-disester

I employed KERAS' pretrained MobileNet CNN and fine-tuned it for our particular flood detection (image classification) task.

georgiatech-logo-projection

Projecting Georgia Tech logo using homography on a video sequence

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

girth

An Item Response Theory Package for Python

gradio

Create UIs for your machine learning model in Python in 3 minutes