Projects

List of projects from the Machine Learning Diploma on OpenClassroom with Centrale Supelec.

Project 1

Learning Strategy

Project 2

Data exploration and Data Cleaning techniques.

Project 3

Linear predictions models framework with Supervised Learning.

• Feature Engineering
• Train, Validation, Test datasets
• Fine-Tuning (Hyperparametrisation and Cross-Validation)
• Model Evaluation and Error Analysis

Project 4

Data segmentation with Unsupervised Learning.

• Database engineering
• Dimensionality Reduction (LDA, PCA)
• Unsupervised Models for Clustering (KMeans, PCA, KNN, (H)DBSCAN)

Project 5

NLP categorisation for tag prediction.

• Text feature engineering (word tokenization, word2vec)
• Transformers and BERT models
• Text2Vec

Project 6

Image classification.

• Pytorch
• Image feature engineering (Image normalisation, data augmentation)
• CNN architectures and theory (Convolution)
• GPU Acceleration
• Transfer Learning for Large CNN models

Project 7

Enhancing a project through a POC and Cloud production.

• AWS manipulation to deploy back and front of a live app
• Tensorflow and Deep Learning Supervised Learning
• ELMo and BERT models

Project 8

Participating in a Kaggle Competition. NLP, classfication of twitter messages.

• Tf-IDF, ELMo and BERT and state of the art methods in text classification (fine-tuning)
• Error analysis and model improvements (F1 Score analysis)