stev-create Goto Github PK

artificial-intelligence-projects

Collection of Artificial Intelligence projects.

bank-telemarketing-analysis---ml-classification

Project ini menggunakan Logistic Regression, Random Forest Classifier, dan XGBoost Classifier, kemudian dilakukan juga oversampling dan undersampling menggunakan SMOTE dan Near-miss Algorithm.

clumsycomputer

Things we coded live on stream at twitch.tv/clumsycomputer!

data-visualization

Collection of interactive Jupiter Notebook widgets and graphs.

doing-frequentist-statistics-with-scipy

Repository for the PyData DC 2016 tutorial

e-commerce-product-recommendations---recommendation-system

Simple Recommendation system involving a content-based filtering, using Cosine Similarity and Jaccard Similarity.

engcomp4_landlinear

Using computational thinking to get deep insights on the foundations of linear algebra

exploringdatawithpython

Methods of data exploration and visualization using Python.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

feature-selection-for-machine-learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

fraud-detection-on-bank-payments---ml-classification

Fraud Detection on Bank Payments through Logistic Regression, Random Forest and XGBoost. Best model based on Average Precision Score.

gapur

Hi there 🖖, This is my Github README.

github-readme-stats

:zap: Dynamically generated stats for your github readmes

house-property-sales---time-series-analysis-and-forecasting

Project ini menggunakan ARIMA dan SARIMA model untuk meramalkan rata-rata harga rumah satu tahun ke depan. Model terbaik dipilih berdasarkan akurasi terbaik atau Mean Absolute Percentage Error (MAPE) terendah.

intro-to-ml-tensorflow

Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course

leetcode-sql

Exercise using SQL in Leetcode

machine-learning-with-python

Python code for common Machine Learning Algorithms

medical-cost-analysis---automl-regression

Project ini menggunakan Tree-based Pipeline Optimization Tool (TPOT) selama dua puluh menit, untuk menemukan model dengan R-squared terbaik dalam memprediksi biaya medis seseorang. Dimana model terbaik yang didapat adalah AdaBoostRegressor.

medium-articles

melbourne-housing-prices---ml_regression

Project ini berisikan analisa harga rumah di Melbourne dan menggunakan Linear (Multiple) Regression dan Xtreme Gradient Boosting untuk memprediksi harga rumah di Melbourne.

mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools

my-first-deep-learning-model

In this notebook, I try to build my first model Deep Learning Model using Tensorflow and Keras.

mysql-cheatsheet

Cheatsheet for MySQL

nba-data-analysis---ml-clustering

Project ini bertujuan untuk mengeksplor dataset NBA dan mengkluster pemain-pemain NBA berdasarkan posisinya menggunakan K-Means Clustering.

numpy-100

100 numpy exercises (with solutions)

pandas_exercises

Practice your pandas skills!

predicting-credit-card-default---ml-classification

Predicting credit card default using Machine Learning approach. Where Adaboost, KNN, and XGboost model with hyperparameter tuning has been used. The Best model based on accuracy score.

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

rainymood.github.io

Jan Meppe's personal blog

separability-of-the-klein-gordon-equation-on-the-kerr-newman-geometry-using-newman-penrose-formalism

This thesis is presented as a Partial Fulfillment of the Requirements for the Degree of Sarjana Sains (S.Si) in Physics Department