Portfolio : http://benoitfagotpro.alwaysdata.net/

I'm a computer science enthousiast who enjoys helping people when i have the sufficient knowdlege, this site helps me solve issues frequently and I appreciate the people who created and keep this platform alive

Experience with machine learning algorithms :

• classification : decison trees, K-nn, logistic regression, naive Bayes...
• regression : linear, Lasso...
• clustering : hierarchical, K-means
• dimensional reduction : PCA

Experience with data mining algorithms :

• APriori, decision trees
• PageRanK

Experience with natural language processing :

• TF-IDF n-grams, sentimental analysis, LDA Topic extraction

Experience with recommandation systems :

• Collaborative filtering : memory-based, model based (NMF, SVD)
• Content based : TF-IDF, neural network (word2vec)

Experience with Big Data tools :

• Data visualisation : Kibana, Jupyter Notebook
• Data manipulation : Spark, pandas
• Data storage : ElasticSearch, MongoDB, mySQL, mariaDB, postgreSQL, Oracle

Favored languages :

• Python, R