Demo thuật toán linear regression với bài toán dự đoán điểm thi cuối kỳ
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Updated
Jul 7, 2018 - Python
Demo thuật toán linear regression với bài toán dự đoán điểm thi cuối kỳ
This project utilizes machine learning to predict heart failure survival. Leveraging a Kaggle dataset, the model employs data preprocessing, feature engineering, and algorithm selection for accurate predictions. The goal is early detection and management of cardiovascular diseases, addressing a critical global health concern.
Linear Regression and Stock Prediction
Predict tournament results for Street Figther 6
Probabilistic Robotics - Problem 2 of chapter 2, Simulator of Markov Chain
Machine Learning for Real State
Project CNN + LSTM DL predictions
Apps Prediction Acoustic Extinguisher Fire,
A complicated method to download all PDB sequences for free has been explained here. Also, a youtube video has been made for easier understanding. Check out the link in ReadME. The downloaded sequences are further cleaned for modeling purposes.
Project developed using Data Mining, Machine Learning and Data Visualization techniques to extract information and make predictions based on positional data
Deep Learning class projects from Kagle. All projects are individual projects conducted by me using pyhton (keras, tensor-flow, matplotlib and other libraries). Different Deep Neural Network (DNN) methods were used and results were compared based one efficiency and accuracy. Results and conclusions based on results were reported.
Predicting the day's high price depending on the day's open price of Google and Ripple cryptocurrency
[LSTM/STL] 현재와 미래의 식품 트렌드 예측 모델링
This project focuses on predicting the next product a customer is likely to buy based on their purchase history using a neural network.
Predicts the likelihood of heart disease using machine learning techniques based on user-provided medical data.
Machine Learning model to predict the scores of NFL games
python based ML web-app on the IPL usecase to predict the score that can be achieved by a team in the first innings of the match. The model uses a trained Linear Regression model to predict the score achieved by a team in their first inning.
A Flask application that creates predictions from a scikit-learn model for real estate prices.
BCIT Computer Systems Technology (CST) - COMP 3948 (Predictive Modelling)
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