پروژه پایتون (12833)+

شرح پروژه

سلام وقتتون بخیر

امکانش هست براتون این پروژه را تا پنج  شنبه صبح انجام بدین؟

In this project you will need to construct an ensemble learner developed from any of the models covered except neural network for classifying digits from a modified MNIST dataset. As in the first assignment, we will provide the training dataset while holding back the test set for evaluation of your model. The following are the key elements you need to include in your model and a report of your work is also required. The dataset consists of “mnist_X_train.pkl” for 784 dimensional features of hand written digits and “mnist_y_train.pkl” for the corresponding labels.
1. Develop three distinct digit classifiers for classifying hand written digit images provided in the dataset. You need to design and optimize each of the three models for achieving best performances, so that the ensemble learner can perform even better than any of the three models.
2. Conduct validation test on each of these models to ensure that the models are not under/over-fitting.
3. Develop an ensemble model from the three models developed and conduct cross- validation tests to check for under/over-fitting.
4. Provide a performance estimates of your ensemble model against the test set. The ability to predict how well your model will do on unseen data is an important element in machine learning model development.

دیتا ستش اینه:

زبان باید پایتون باشه ولی پلتفرمش فرقی نداره، جوپیتر، گوگل کولب یا کامپیوتر شخصی

راستش همون دیتاست MNIST معروف هستش فقط یکم modify شده لینک دیگه نداره متاسفانه
راستش تا پنج شنبه شب زمان داره ولی ریپورتشو باید خودم حتما بنویسم واسه همین اگه تا پنج شنبه صبح حاضر بشه عالیه

https://drive.google.com/file/d/11lK846gLXoO8NZBNx4rbcU416YueOh8v/view?usp=sharing
+++

مهارت ها و تخصص های مورد نیاز

درباره کارفرما

Hamyarprozhe

عضویت سیزده سال پیش

55840 پروژه ثبت شده ،

27 پروژه در حال انجام ،

153 پروژه آماده دریافت پیشنهاد ،

نرخ پذیرش پیشنهاد 16%