judsonmorgan Goto Github PK

a-comparative-analysis-of-svm-knn-and-randomforest-on-offline-handwriting-recognition

ajax-movie-recommendation-system-with-sentiment-analysis

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

anomaly-based-intrusion-detection-system

Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.

ar-filters-using-mediapipe-deployed-with-fastapi

AR-filters-using-

breast-cancer-prediction

breast-cancer-predictor

A Flask based web application to predict breast cancer.

chibueze

climate_change_hamoye_stage_a_ezeh

customer-chun_fastapi_project

eda-titanic-survival-prediction-using-randomforestclassifier

A project that predicts whether a passenger survived the Titanic accident or not.

effect-of-pca-on-model-performace

A simple project to illustrate the effect of PCA (pricipal component analysis) on the accuracy score. In this project, we are going to do the following: 1. Load our dataset `heart.csv` data 2. Perform outlier detection and removal on some data features using zcore greater than -3 or less than 3. 3. Standardized our data 4. Building our machine learning model by comparing three different models (SVM, RandomForest, and Logistic Regression) on the same dataset. 5. Now, we apply Dimensionality reduction technique using pca to see how it affect model's performance.

electricity-forecasting

emotion-detection

Real-time Facial Emotion Detection using deep learning

face-mask-detection

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

facial-recognition-door-unlocking

A Face Recognition System is a system which automatically identifies and/or verifies the identity of a person from digital images or a video frame from a video source. The basic flow of the face recognition system is the image is captured by camera. The API detects the face and extracts its features. After the extraction, system matches the captured images with data base images. In the decision box the result of the matching is decide which is face match or the no face match. After that if the face matches then the door is unlocked else it is kept closed. On being successful, with further optimizations and improvements, the system may be implemented in real time systems requiring user authentication such as attendance systems, ATM security, Network security, In Bank locker, Home automation.

fake_news_detection

A project that detects whether a news is fake or not. All thanks to Python and NLTK.

flask_ocr

In this project, we deployed the google tesseract ocr model to flask web framework.

fork-python-fundamentos

Repositório do Curso Online Python Fundamentos Para Análise de Dados.

fraud_detection_hybrid-knn-svm-model

handwritingrecognitionsystem

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

hdsc_21-stageb

highschool-dropout-prediction

Project for a school which wants to predict who of his students is likely to drop out so that they can react early and provide him/her help.

honeypot_project

readMe.

house_price_predict

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

house_price_prediction

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

house_price_prediction-advanced-dataset-

house_price_predictn

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

house_pricing_prediction

This problem predicts SalePrice of House and evaluate using the RMSE

imagenet_cnn_keras_

ivy

The Unified Machine Learning Framework