Hi 👋, I'm Amanatullah Pandu Zenklinov

A passionate Data Analyst, Data Scientist, and Machine Learning Engineer from Indonesia

My Repositories:

📊 Statistics

Rainfall-Time-Series-Descriptive: Jupyter Notebook of Python scripts to visualize data using 2D Line Chart and Heatmap.
Tech/Libraries: Pandas, Geopandas, Numpy
Tags: Data Science, Data Analyze, 2D Line Chart, Heatmap

🤖 Machine Learning

Clustering_K-Means_Metrics_PCA: Explore K-Means clustering analysis with various distance metrics (Euclidean, Manhattan, Cosine) and PCA analysis on the Iris dataset. Investigate clustering quality and its relation to principal dimensions with clear visualizations and in-depth analysis.
Tech/Libraries: Matplotlib, Scikit-Learn
Tags: Data Science, Machine Learning, Cluster, K-Means, Dimensionality Reduction

Deep-Learning-CNN-vs-RNN: This repository contains a Jupyter Notebook that compares the performance of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) architectures for image classification tasks using the Fashion MNIST dataset. The notebook explores the process of training CNN and RNN models.
Tech/Libraries: TensorFlow, Matplotlib
Tags: Data Science, Machine Learning, Deep Learning, CNN, RNN, Classification

Hotelling-T-Square: This repository contains the implementation of a multivariate control chart with dimension reduction techniques, namely Factor Analysis of Mixed Data (FAMD) and Autoencoder. The control chart is designed for detecting network intrusions using network data traffic.
Tech/Libraries: Pandas, Numpy, Scikit-Learn
Tags: Data Science, Machine Learning, Multivariate Control Chart, Hotelling T-Square, Dimensionality Reduction

IBM_Machine_Learning_Capstone: This repository contains materials for the Machine Learning Capstone course offered by IBM. Build a course recommender system, Analyze course-related datasets, and Generate recommendation systems using techniques such as KNN, PCA, and non-negative matrix collaborative filtering.
Tech/Libraries: Pandas, Numpy, Tensorflow, Os, Pickle, Drive, FastDTW
Tags: Data Science, Machine Learning, Scikit-Learn, Matplotlib

Metrics-Distance-TensorFlow: Python scripts to calculate various distance metrics between rows of data in a dataset using TensorFlow.
Tech/Libraries: Pandas, Numpy, Tensorflow, Os, Pickle, Drive, FastDTW
Tags: Data Science, Machine Learning, TensorFlow

PCA: Principal Component Analysis implementation for data dimensionality reduction.
Tech/Libraries: Performance Analytics, Factoextra
Tags: Data Science, Machine Learning, Dimensionality Reduction

🗄️ Getting Data

nasapower: Python client to access NASA POWER global solar and meteorological data. Getting Data NASA POWER, such as Precipitation in Regional by Single Point approach. Example Precipitation / Rainfall Data in East Java 2018-2022.
Tech/Libraries: Pandas, Geopandas, Matplotlib, nasapower
Tags: Data Science, API, Climate Data

🎵 Music

MIDI: Python library for handling MIDI files and music processing.
Tech/Libraries: MIDIutil
Tags: Music, MIDI, Digital Signal Processing

🎮 Game

Tic-Tac-Toe: Classic Tic-Tac-Toe game with AI opponent using Minimax algorithm.
Tech/Libraries: TKinter
Tags: Game Development, Artificial Intelligence

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Amanatullah Pandu Zenklinov's Projects

clustering_k-means_metrics_pca

Comparing Euclidean Distance, Manhattan Distance, Cosine Distance, with PCA in K-Means Clustering

deep-learning-cnn-vs-rnn

This repository contains a Jupyter Notebook that compares the performance of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) architectures for image classification tasks using the Fashion MNIST dataset. The notebook explores the process of training CNN and RNN models

hotelling-t-square

This repository contains the implementation of a multivariate control chart with dimension reduction techniques, namely Factor Analysis of Mixed Data (FAMD) and Autoencoder. The control chart is designed for detecting network intrusions using network data traffic.

metrics-distance-tensorflow

Distance Metrics for larga dataset using TensorFlow

midi

MIDI (Musical Instrument Digital Interface) is a technical standard that describes a communications protocol, digital interface, and electrical connectors that connect a wide variety of electronic musical instruments, computers, and related audio devices for playing, editing, and recording music.

nasapower

Getting Data NASA POWER, such as Precipitation in Regional by Single Point approach. Example Precipitation / Rainfall Data in East Java 2018-2022

pca

PCA is a statistical technique for reducing the dimensionality of a dataset

rainfall-time-series-descriptive

Descriptive about Rainfall Time Series of NASA Power

tic-tac-toe

Tic Tac Toe, also known as noughts and crosses or Xs and Os, is a popular two-player strategy game played on a 3x3 grid. The game is typically played with Xs and Os, with the first player placing X in an empty square, followed by the second player placing O in a different empty square, and so on.

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