billy-enrizky Goto Github PK

activity-recognition-project

"Embark on a cutting-edge journey in Human Activity Recognition using a fusion of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. This project includes model training, metric visualization, and action prediction in videos. Experience seamless interaction with a Streamlit-powered user-friendly version (at the bottom)

bikeshare_data_analysis

Analyzing Bikeshare Data in Toronto using R Programming Language

dcgan-face-generator

Presenting a Deep Convolutional Generative Adversarial Network (DCGAN) for generating anime faces. The process involves training a discriminator and generator neural network on a dataset comprising 21,551 manually resized anime faces (64x64 pixels). The generator is capable of producing realistic anime faces after being trained for 50 epochs.

flask-task-manager

This project consists of a simple task manager web application developed using Flask, a micro web framework for Python. The application allows users to manage tasks, including adding, editing, and deleting tasks. It utilizes SQLAlchemy as an Object-Relational Mapping (ORM) tool to interact with a SQLite database.

food_rec

image-caption-generator

🚀 Image Caption Generator Project 🚀 🧠 Building Customized LSTM Neural Network Encoder model with Dropout, Dense, RepeatVector, and Bidirectional LSTM layers. Sequence feature layers with Embedding, Dropout, and Bidirectional LSTM layers. Attention mechanism using Dot product, Softmax attention scores,...

kimia-farma-sales-management-database-replica-project

SQL Database Management, Then Visualizing it on Tableau!

loan-prediction-status

Explore an ML model with Logistic Regression, SVM, Gradient Boosting, Random Forest, and Decision Tree, enhanced via Hyperparameter Tuning. Experience our GUI-based ML model with 82.49% accuracy. Try it now!

majorhacks

methacks

methacksfinal

podcast-summarizer-project

Transform podcast listening with our Podcast Summarizer Project! This innovative tool transcribes audio, extracts key content, and provides user-friendly summaries. The project utilizes AssemblyAI and Listen Notes APIs for transcription and episode details. Simply input an episode ID, click "Download Episode Summary," and experience podcast content

portfolio

My Personal Portfolio Website Created Using HTML, CSS, and JavaScript

predicting_income_project

Practicion of Machine Learning, One-hot encoding, Random Forest, Hyperparameter Tuning, Grid Search CV, With accuracy of 84.92%!

promptopia

pyspark-analyzing-google-playstore-application-data

"Analyzed Google Playstore data using PySpark: Cleaned data, explored top apps by reviews, installs, and ratings, and price."

pytorch-handwritten-digit-recognition

🚀 PyTorch Handwritten Digit Recognition 🤖 Discover the world of machine learning with our PyTorch Handwritten Digit Recognition project! 🔍 Data Exploration Explore the MNIST dataset with 60,000 training images and 10,000 testing images. 📦 Data Preparation Effortlessly set up and import the dataset using PyTorch and torchvision.

ride_4_food

Utilizing Google Maps API, Typescript, Mongodb, and Node.js

sales-analysis

"Sales Data Analysis Project: Analyzing sales data, cleaning, and exploring insights. Python and Pandas used for data analysis."

speech-emotion-recognition

This project focuses on real-time Speech Emotion Recognition (SER) using the "ravdess-emotional-speech-audio" dataset. Leveraging essential libraries and Long Short-Term Memory (LSTM) networks, it processes diverse emotional states expressed in 1440 audio files. Professional actors ensure controlled representation, with 24 actors contributing

survdigitizer

The survdigitzerR digitizes published KM curves and extracts survival times and events to be used as input to a digitization algorithm to generate pseudo individual patient level data. The survdigitzeR package is currently under development.

task-manager

I-menu Using Flask

temperature-of-ann---arbor

Analyzing Temperature of Ann-Arbor

tensorflow-image-classification

"TensorFlow Image Classification Project" This project demonstrates image classification using TensorFlow. The CIFAR-10 dataset, consisting of 60,000 32x32 color images across 10 classes, is explored and analyzed. Key components include data loading, dataset characteristics, and a machine learning model built using the functional API.

toronto_apartment_project

GIS Data Science Project Using Folio Library!

valentine-card

valentine-card

youtube_like_or_dislike

Exploratory Data Analysis Using Pandas on the Like or Dislike DataFrame in a Youtube Video