sanyuktap Goto Github PK

bbc-news-classification

We’ll use a public dataset from the BBC comprised of 2225 articles, each labeled under one of 5 categories: business, entertainment, politics, sport or tech. The dataset is broken into 1490 records for training and 735 for testing. The goal will be to build a system that can accurately classify previously unseen news articles into the right category.

bostonhousepricing

brain-tumor-segmentation-and-survival-prediction

This Project does segmentation on Multimodal MRI brain scans , and segments the tumor regions if present . It also successfully performs the Survival Prediction.

callbacks-in-keras

Implementation of callbacks in keras which means that if a certain given condition for loss and accuracy is required while the epochs is running ,then it can be satisfied using callbacks.

cats-vs-dogs-using-tensorflow-and-cnn

convolution-on-mnist

driver-drowsiness-detection-using-deep-learning

drowsiness-detection

It makes use of Tensorflow,keras,Transfer learning, OpenCV and Haar cascade.

drowsiness-detection-system-for-drivers

Driver drowsiness detection is a car safety Technology which helps prevent accidents caused by the driver getting drowsy. The following code uses computer vision to observe the driver's face, either using a built-in cameraor on mobile devices.

dsirp-assignments

face_and_emotion_detection

Performing image classification for detection of various human emotions using CNN Architecture.

fashion_mnist-using-tensorflow-and-keras

fastapi-hello-world-docker

git-and-github-basics

happy-or-sad-cnn

Using Tensorflow and keras.

karel-the-robot

Using C++ programmng language created a code where the robot named karel will be able to make movements withing user given space having defined barriers.

language-translator

I created this project while I was an Artificial Intelligence Intern at Internship Studio.

language-translator-ai

The objective of the project is to implement language translation model aka machine translation for converting German to English (and vice versa)

medical-insurance-cost-

monkey-detection-and-signalling-using-yolo-v5

pneumonia-or-normal-using-cnn-tensorflow

Binary classification in CNN .

sensor-fault-detection

Full end to end Machine learning project using Mongodb, Kafka confluent and many other techniques.

stock-market-analysis-and-prediction

Workable on various nifty datasets . The code analysis, plots and predicts the Closing price of the respective shares on a particular date.

titanic-machine-learning-from-disaster

This is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.In this , you’ll gain access to two similar datasets that include passenger information like name, age, gender, socio-economic class, etc. One dataset is titled `train.csv` and the other is titled `test.csv`. Train.csv will contain the details of a subset of the passengers on board (891 to be exact) and importantly, will reveal whether they survived or not, also known as the “ground truth”. The `test.csv` dataset contains similar information but does not disclose the “ground truth” for each passenger. It’s your job to predict these outcomes. Using the patterns you find in the train.csv data, predict whether the other 418 passengers on board (found in test.csv) survived.

transfer-learning-

Using Inception v3 model for transfer learning for CNN .

twitter-sentiment-analysis