Project - Classify Clothes from Fashion MNIST Dataset using Machine Learning Techniques

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Project - Classify Clothes from Fashion MNIST Dataset using Machine Learning Techniques

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12 Concepts | 7 Questions | 11 Assessments | 1,850 Learners

Welcome to this project on Classify Clothes from Fashion MNIST Dataset with a couple of Machine Learning algorithms like SGD Classifier, XGBClassifier, Softmax Regression (multi-class LogisticRegression), DecisionTreeClassifier, RandomForestClassifier, Ensemble (with soft voting) using scikit-learn. In this project, you will use Python and scikit-learn to build Machine Learning models, and apply them to predict the class of clothes from Fashion MNIST Dataset.

In this end-to-end Machine Learning project, you will get a hands-on overview of how to methodologically solve a machine learning classification problem. As a part of it, you will understand various methods of improvising the models using hyperparameter tuning, dimensionality reduction using the corresponding scikit-learn classes. You will also evaluate the performance of your final ensembling model using various performance metrics.

Skills you will develop:

  1. scikit-learn
  2. Machine Learning
  3. Hyperparameter Tuning
  4. Dimensionality Reduction
  5. Python Programming
  6. Ensemble modeling
  7. Data Preprocessing
  8. Pandas
Attempted by

Nishant
Neha
Nitin
Sudha

and 1,846 more

This topic is part of below listed courses -

Machine Learning Specialization (Includes Deep Learning) | Machine Learning | Data Science Specialization | Post Graduate certification in Applied Data Science and AI, IIT Roorkee | PG Certificate Program in Data Science & AI By CEC, IIT Roorkee

Instructor:

Sandeep Giri

Founder, CloudxLab.com

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