This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action

一些常用的机器学习算法实现

Here you will find resolved problems using artificial intelligence.

Performed text classification using KNN, SVC and Decision-Tree algorithms to predict the author.

coding lines for Deep learning 0.1 Desicion Tree

Efficient Android Malware detection using Random - Protype of BA's final project (Efficient Android Malware Detection using RL) - Amit Moshe (@Amit223) & Inbar Roth (@Inbaroth) & Liad Bercovich (@liadber)

Collect sensor data from Android cell phone.Using accelerometers and gravimeters to calculate horizontal and vertical accelerations. Use decision tree as classifier

Create Desicion Tree with labeled data

Deployment of the Omdena Algeria Chapter

Perfoming furniture Classification with Machine Learning Image Classifications Tools

This model predicts whether the survivors of the Titanic survived or not. In this file, different classification models are compared and predictions are done from the model(s) having highest accuracy. Here, 'training_data.csv' is used for training and testing the models and 'testing data.csv' is used for predictions. These data sets are from Kaggle

Predicts which passengers are transported to an alternate dimension.

This is a model which predicts air quality index of different cities using classification models.

An innovative Python implementation of decision trees for machine learning, showcasing algorithmic learning from scratch with practical examples and a focus on AI principles.

These are all of my machine learning codes.You can find every code about machine learning.

我也不知道我在寫什麼，大學的一個小專案，發想是買西瓜的時候長輩都會拍打西瓜，因為糖分影響密度，使得有些西瓜聲音比較低沉(咚咚咚)，有些西瓜聲音比較高(啪啪啪)。以此概念，藉由ftt再透過機器學習的決策樹，因為西瓜太貴了，我們樣本數嚴重不足(5顆)，即便拍打原西瓜，每次輸出結果還是不一樣，實驗以失敗告終。