christiansada Goto Github PK

analysis-on-medical-appointment-data

A growing problem in hospitals are patients not showing up for their appointments, It is not unhealthy, time wasting and costly in the long run. I sort to understand the why behind this.

basic-image-classifier-with-keras

bostonhousepricing

building-basic-machine-learning-models

Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data.

cointegration_mean_reversion

credit-card-fraud-detection

deep-learning-image-search

dog-v-cat-image-classification-project

earth-quake-analysis

An analysis of natural disasters (Earth Quakes) and the potential impact on our U.S. Embassy and Consulate personnel and facilities.

email-classification-

english-to-arabic-multi-label-text-translation-and-preprocessing-project

This project extends the previous multi-label text classification project by integrating text translation and additional preprocessing steps.

image-captioning-using-deep-learning

This project aims to generate descriptive captions for images using deep learning techniques. It combines computer vision and natural language processing to create meaningful descriptions of the content within images. The project utilizes the Flickr8K dataset, which consists of images and corresponding captions.

k-nearest-neighbors-project

This project is a classification problem that aims to build a K Nearest Neighbors (KNN) model to classify the target class given the features of the dataset.

multi-label-text-classification-experimentationproject-

This project aims to perform multi-label text classification using various machine learning classifiers. The dataset consists of text documents labeled with multiple categories, and the goal is to predict the categories for new, unseen documents accurately.

multi-label-text-translation-and-preprocessing-project

This project expands upon the previous multi-label text classification project by incorporating text translation from spanish to english and preprocessing steps.

multilingual-chatbot-project

Created a multilingual e-commerce chatbot (Arabic/English) using deep learning and NLP, standing out by learning patterns instead of relying on predefined responses.

nlp-multi-label-classification-project

This project aims to classify text data into multiple categories using various deep learning architectures like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Bidirectional RNNs (Bi-RNN), Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Gated Recurrent Unit (GRU), and Bidirectional GRU (Bi-GRU).

predicting-clicks-on-an-ad

This project is an implementation of logistic regression to predict whether or not an internet user clicked on an advertisement on a company website. The data set includes various features of the user such as age, gender, income, and internet usage, which are used to train the model to predict whether the user will click on an ad or not.

real-time-facial-expression-recognition-with-deeplearning

This project aims to recognize facial expression with CNN implemented by Keras. I also implement a real-time module which can real-time capture user's face through webcam steaming called by opencv.

revenue-and-margin-dashboard-with-powerbi

sentiment-analysis-with-scarcism-detection

Sentiment analysis and sarcasm detection are crucial tasks in natural language processing (NLP). Sentiment analysis aims to determine the sentiment or emotion expressed in a piece of text, while sarcasm detection involves identifying sarcastic statements that convey meanings opposite to their literal interpretation.

task-webscrapping-from-website-to-mysql-database

Extract data directly from Webpage (Website HTML), Clean the data and Send the data to MySQL database.

temp

tiger-detection-using-atrw-dataset-with-tensorflow-gpu-backend

This provides a comprehensive guide on training your own custom tiger detection model using the ATRW dataset by CVWC (Computer Vision Winter School) with a TensorFlow-GPU backend on a Linux-based setup. The process involves several steps:

time-series-financial-models

Build Machine Learning Models, Finance Models, Research and Manage Portfolios

tourist-and-business-venues-recommendation-system

This project aims to explore tourist attractions and business venues in various states of India. Using Foursquare API data, we analyze the distribution of tourist spots and businesses across different districts in selected states.

tweet_sentiment_analysis

wildfire-classification-and-detection