prashantr0205 Goto Github PK

-machine_learning_project_pr1

trial

advanced-house-price-prediction-

feature engineering

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

bentoml

BentoML is a framework for building reliable, scalable and cost-efficient AI applications. It comes with everything you need for model serving, application packaging, and production deployment.

diet_recom_ai

This ML-based app is developed for educational purposes only. Objective of this app is to recommend a correct diet based on your body parameters

feature-engineering-live-sessions

feature-selection-techniques

fsds_nov_deepcnnclassifier

fsds_nov_dl_dvc_template

This is a template for faster coding

handle-imbalanced-dataset

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ipynbrenderer

labelimg

Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

ml_project_waferfaultdetection

phishing-url-detection

phishing-website-detection-

This ML-based app is developed for educational purposes only. Objective of this app is to detect phishing websites only using content data. Not URL!'

phishing-website-detection-by-machine-learning-techniques

pr_adult_census_income_prediction

The Goal is to predict whether a person has an income of more than 50K a year or not.

projects_phishing-sites-prediction-using-machine-learning

review-scrapper

sign-language-generation-from-video-using-yolov5

text2image

This ML-based app is developed for educational purposes only. Objective of this app is to generate Image using text prompts, Image variations by passing an image, Image edits by text prompts and a mask image.

wafer-fault-detection-ml-project

The inputs of various sensors for different wafers have been provided. In electronics, a wafer (also called a slice or substrate) is a thin slice of semiconductor used for the fabrication of integrated circuits. The goal is to build a machine learning model which predicts whether a wafer needs to be replaced or not(i.e., whether it is working or not) based on the inputs from various sensors. There are two classes: +1 and -1.

wafer-fault-detection-ml-project-1

wafer-sensor-fault-detection

Repository for ML Project - Wafer Sensor Fault Detection

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite