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LaurentVeyssier

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Use unsupervised machine learning tools to segment credit card customers

Credit-Card-fraud-detection-using-Machine-Learning

Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances

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Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning

Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method

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Pricing-optimization-Model

Optimize revenues through pricing algorithm in python - Demand with uniform distribution

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Minimize-Energy-consumption-with-Deep-Learning-model

Use Deep Q-Learning model to optimize energy consumption of a data center

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Route-planner-algorithm

Find the shortest route using A* algorithm and graphs (Route Planner application)

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Skin-Cancer-Classifier-Dermatologist-AI

Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions

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Detect-and-localize-manufacturing-defects-from-images

Use ResNet50 deep learning model to predict defects in steel and visually localize the defect using Res-UNET model class

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Unsupervised-text-classification-with-BERT-embeddings

Use embeddings to classify text based on categories defined with keywords

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Machine-translation-English-French-with-Deep-neural-Network

Build a deep neural network with keras that functions as part of an end-to-end machine translation pipeline

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Abstractive-Text-Summarization-model-in-Keras

Abstractive Text Summarization using Transformer model

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Bird_Classifier_Tensorflow_Colab_Notebook

Bird Classifier developped in tensorflow using pre-trained model from Tensorflow Hub and running on Google Colab

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Dash_app_to_monitor_market_data

Dash app pulling various financial-related information based on an input ticker code

Python

Image-Captioning-Project-with-full-Encoder-Decoder-model

Generate caption on images using CNN Encoder- LSTM Decoder structure

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Various-unsupervised-NLP-techniques-with-DistilBERT-sentence-embeddings

Usage of BERT models for text clustering techniques using sentence embeddings

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Topic-Modeling-and-Document-Categorization-using-Latent-Dirichlet-Allocation

Categorize documents per topics inferred by LDA algorithm

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Model-to-predict-Energy-consumption-City-of-Seattle

Use Seattle's public energy data and build a model predicting energy consumption

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Finding-Lane-Lines-on-the-Road

Create a Lane Finding pipeline that finds lane lines on the road

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Optimizing-Warehouse-Flows-with-Q-Learning

calculate the optimum route in a warehouse using the Q-Learning algorithm (Bellman equation)

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Abstractive-Summarization-using-colab-and-T5-model

Text summarization using Google T5 (Text to Text Transfer Transformer) engine

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Automatic-Speech-Recognizer

Build end-to-end Deep Neural Network to translate speech to text (ASR model)

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Landmark-detection-and-robot-tracking

Apply Simultaneous Localization And Mapping (SLAM) to derive landmark positions and robot localization from measures made by the robot

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Maximize-Revenues-with-Thompson-Sampling

Maximize revenues of Online Retail Business with Thompson Sampling algorithm

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Object-localization-using-Global-Average-Pooling-GAP

ResNet-50 used for object localization on sample images with heatmap

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Part-Of-Speech-tagging-NLP-task

Part-Of-Speech-tagging using Hidden Markov model to identify the category of words ('noun', 'verb', ...) in plain text.

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Starbucks_case_study_Udacity_Data_Science

Case study from UDACITY Data Scientist Nanodegree

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Dynamic_risk_assessment_system

Project #4 from Udacity's ML DevOps engineer Nanodegree

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Manipulate-COCO-dataset

Explore COCO dataset and manipulate elements in the context of semantic segmentation

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TRAX_transformer_abstractive_summarization_model

Use Trax and Transformer architecture for generative summarizer deep learning model

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Text-Classification-with-3-key-NLP-techniques

Use Key NLP techniques to classify news articles into categories: Bag_of_Words (tf-Idf), word embeddings and BERT language model

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Analysis_AirBnB_Boston

Blogpost project for Udacity's Data Scientist Nanodegree

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Semantic-Segmentation-with-Fully-Convolution-Network

Use deep learning model to produce a pixel-by-pixel classification of images and identify road for autonomous driving vehicles

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Face-Generation-using-DCGAN

Define and train a Deep Convolutional GAN to generate faces

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Unsupervised-Text-Summarizer-using-Extractive-method

This module summarizes any text using extractive summarization, an unsupervised technique.

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time-serie-Sales-forecasting-with-Prophet

Use Facebook Prophet model to forecast Sales including seasonality patterns

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Cracking_code_using_RNN_at-character_level

Decipher encrypted strings with various simple recurrent neural networks

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Sentiment-Analysis-webApp-with-SageMaker

Sentiment analysis web app with SageMaker

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Siamese-Network-for-predicting-duplicate-questions

Use Trax Siamese deep Neural LSTM Network to predict pair of similar question (duplicates)

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Automatic-image-Captioning

Captioning generated by a CNN encoder (ResNet 101) and a decoder using LTSM with attention

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CarND-Traffic-Sign-Classifier

Building a neural network to classify 43 different types of German traffic sign

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TRAX_Translation_model

Use Encoder Decoder architecture with LSTM for English->German translation network

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Minimizing-Churn-of-subscription-product-through-usage-analysis

Build a model predicting which customers are likely to cancel subscription by analysis of their usage and habbits

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Detecting-COVID-19-with-chest-X-Ray-using-PyTorch

Deep learning model to classify XRay Scan images between 3 classes and detect COVID19

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BERT_training_for_sentiment_analysis

Use pretrained BERT model for sentiment analysis

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Simple-CNN-classifier-for-FashionMNIST-in-Pytorch

simple CNN achieving 90% accuracy on FashionMNIST dataset

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Emotion_classification_and_face_keypoints_prediction_with_ResNet

Use ResNet architecture built from scratch to predict emotion and estimate keypoints from face images

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Disaster_Response_Pipeline

Project # 2 from UDACITY's Data Scientist Nanodegree - Data Engineering Course final project

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Udacity-Predict-Customer-Churn-with-Clean-Code

Udacity project#1 machine Learning DevOps Engineer Nano degree

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LaurentVeyssier/Customer-Marketing-segmentation-with-Machine-Learning

LaurentVeyssier

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