Frenchie living in Israel, I am specializing in Data Science and Artificial Intelligence, after working 12 years in quantitative finance in Paris, London and Tel Aviv.
👉🏻 I am currently looking for my next professional challenge - Starting in mid march 2019!
Feel free to look at my CV
From October 2018 to March 2019, I will be attending a professional course in Data Science, with a specialization in Natural Language Processing and Computer Vision.
In this repo, you will find a selection of the exercises I found the most interesting, challenging, enriching, fun, ...
On the following topics:
- python
- intro to Data Science: SQL, time series, anomaly detection...
- Stats: bayesian inference, regression, statistical tests, entropy...
- Modelling: Naive Bayes, KNN, Polynomial regression, Decision Trees, SVM, Ensembles, Feed Forward Neural Nets
- Unsupervised Learning: Clustering, Singular Value Decomposition, Independent Component Analysis, Convex Optimization
- Deep Learning: Neural Networks, CNN, LSTM
- Natural Language Processing: Word Embedding, POS Tagging, Entity Extraction
To create a Conda environment including all the packages needed in this portfolio run:
$ conda env create -f ITC.ymlFor an improved visual experience run the following command (requires jupyter-themes)
$ jt -t onedork -tfs 12 -nfs 12 -ofs 10 -cellw 1200 -lineh 150 -kl -N -T
To revert to your initial jupyter themes setting run:
$ jt -r