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airbnb-price-category-prediction-using-multi-modality-text-image-model

It is a Kaggle competition: The problem is determining the appropriate listing price for a new Airbnb listing, which is a common challenge for hosts. To accomplish this, we will use the listing's characteristics and images to predict its price. you can see my Kaggle competitions here:https://www.kaggle.com/competitions/copy-of-cisc-873-dm-w23-a4

androidtutorialforbeginners

Step by step to build Android apps using Android Studio

clustering-and-frequent-pattern-mining-on-a-bank-card-transaction

In this project, we used bank card transaction data to cluster users based on their spending behaviors using the K-means method. Also, we utilized the frequent pattern mining to discover patterns of frequently co-occurring transaction types

cmms-website

Clinical Engineering CMMS System Flask CSV Website

count-wh-question-words

Our intention is to find out the WH question words (who, what, where, whom, which, how) from the given file Using Pig

coursera-machine-learning-stanford

Machine learning-Stanford University

covid-19-outcome-prediction-project

This project will help to identify whether a person is going to recover from coronavirus symptoms or not based on some pre-defined standard symptoms. In this project, we tuned different Classifiers: 1. K-Nearest Neighbors (KNN) 2. Logistic Regression 3. Naïve Bayes 4. Decision Trees 5. Support Vector Machines (SVM) and chose the best one

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

diabetics-prediction-using-machine-learning

dialect-prediction-with-transformers

egyption-generative-voicebot-to-reduce-car-accidents-

The primary objective of the project is to utilize the voicebot as a proactive tool for real-time monitoring of drivers' emotional states and levels of drowsiness.

enhancing-fashion-mnist-digit-recognition-using-lenet-5-and-transfer-learning-with-vgg-16-and-resnet

The project focused on the task of recognizing digits in the Fashion MNIST dataset. To accomplish this, the project employed a combination of implementing the LENET-5 architecture from scratch and utilizing two transfer learning models, namely VGG-16 and RESNET.

equalizer-app-

A Python Sound Equalizer Application

fake-reddit-prediction

It is a Kaggle competition: the problem was predict the label of the news if they are fake news or True news based on 60000 rows have fake news and right news in addition to some injected noise that needed to be cleaned. you can see my Kaggle competitions here: https://www.kaggle.com/competitions/cisc-873-dm-w23-a3/overview

flask-heroku-example

Deploy your Flask app to Heroku. Check our Free Flask tutorial: https://flask-tutorial.com

hive-task

hospital-readmission-using-machine-learning-

huffman-algorithm

Applying Huffman compression and decompression algorithm using data structure C++ app

imagefilters

leaf-classification

The project aims to train a robust neural network model for classifying leaf types and offers an opportunity to explore various hyperparameter settings and optimization techniques for enhancing model performance.

ml-papers-explained

Explanation to key concepts in ML

multilingual_multidomain_neural_vocab_selection_for_machine_translation

musical-instruments-piano-guitar--app

my-protofolio

opencv

Open Source Computer Vision Library

predicting-card-loyalty-score-for-a-bank

The main objective of this project is to predict user loyalty scores based on customer behaviour, information about merchants, and other significant features using regression analysis

python_tutorials

Python tutorials in both Jupyter Notebook and youtube format.

sbme-tutorials.github.io

section_2_ml

sentimental_analysis_using_pyspark

Social Media Analytics: you will use Spark and suite of relevant big data tools to analyze social media data for gaining insights into user behavior, trends, and sentiment.