Solid understanding of mathematics behind Machine Learning
algorithms such as Probability & Statistics.
Good applied statistics skills, such as distributions, statistical
testing, regression, etc.
Excellent understanding of machine learning techniques and
algorithms, such as K-NN, Naive Bayes, Logistic Regression,
Linear Regression, SVM, Decision trees, ANN, RNN.
Excellent knowledge in NLP Techniques like Text to Vector,
Stemming, Stop words, Lemmatization, Tokenization, Unigram,bigram, n-gram, Tf-idf,Word2Vec, Bag of Words