b. Nhược điểm:
5.2 Hướng phát triển:
- Thu thập thêm dữ liệu từ nhiều trang bất động sản hơn. Càng nhiều dữ liệu, model sẽ cho ra kết quả càng chính xác.
- Tối ưu thuật toán để tăng độ chính xác trong việc dự đoán đoán. - Tìm hiểu thêm thuật toán để sử dụng hiệu quả hơn.
- Tìm hiểu thêm về bài toán thực tế như recommend system, dự đoán bình luận tích cực hay tiêu cực để làm tiền đề cho khóa luận tốt nghiệp.
Danh mục tham khảo
[1] Alakh Sethi “Support Vector Regression In Machine Learning” in https://www.analyticsvidhya.com/blog/2020/03/support-vector-regression-tutorial-for- machine-learning.
[2] Csurka, Gabriella, et al. “Visual categorization with bags of keypoints.” Workshop on statistical learning in computer vision, ECCV. Vol. 1. No. 1-22. 2004. [3] Https://www. kdnuggets. com/2019/04/ normalization - vs - standardization - quantitative - analysis. html
[4] Aniruddha Bhandari “Feature Scaling for Machine Learning: Understanding the Difference Between Normalization vs. Standardization” in https://www.analyticsvidhya.com/blog/2020/04/feature-scaling-machine-learning-nor malization-standardization
[5] https://scikit-learn.org /stable/ modules/ generated/ sklearn.linear_model. LinearRegression.html
[6] Support Vector Machine - Regression (SVR) https:// www.saedsayad.com/ support_vector_machine_reg.htm
[7] Multiple Linear Regression in http:// www.stat.yale.edu/ Courses/ 1997-98/101/ linmult.html
[8] Nagesh Singh Chauhan “Decision Tree Algorithm, Explained - KDnuggets” in https:// www.kdnuggets.com/ 2020/01/ decision-tree-algorithm- explained.html
[9] Reena Shaw “The Top 10 Machine Learning Algorithms for ML Beginners” in https:// www.dataquest.io/blog/ top-10-machine- learning-algorithms- for-beginners/ [10] Https://www. kdnuggets. com/ normalization - vs - standardization - quantitative - analysis. html
[11] “Feature Scaling for Machine Learning: Understanding the Difference Between
Normalization vs. Standardization” in
https://www.analyticsvidhya.com/blog/2020/04/feature-scaling-machine-learning-nor malization-standardization
[12] A Tour of Machine Learning Algorithms by Jason Brownlee on August 12, 2019 in Machine Learning Algorithms https:// machinelearningmastery.com/ a-tour- of-machine- learning-algorithms/
[13] Need Help Getting Started with Applied Machine Learning? https://machinelearningmastery.com/start-here
[14] Understanding K-means Clustering in Machine Learning Dr. Michael J. Garbade https:// towardsdatascience.com/ understanding-k - means -clustering -in-machine -learning-6a6e67336aa1
[15] Rajasekhar “Simple Linear Regression” in https:// www.excelr.com /blog /data-science/ regression/simple-linear-regression