2 To 5 years of experience in Machine learning, Predictive Analytics, Data Science
Statistical knowledge about Hypothesis Testing, probability distributions, sampling theory, T-test, Z-test, ANOVA, etc.
Proficient in R, Python
Hands-on working knowledge of algorithms like linear regression, logistic regression, rpart, ctree, C5.0, random forests, xgboost, adaboost etc. in R / Python.
Implementing models based on Text Mining, NLP, Time Series
Working knowledge of supervised and unsupervised machine learning models
Understanding of association rule mining, market basket analysis, clustering, principal component analysis
Hands-on working experience libraries like pandas, numpy, scikit-learn in python
Exposure to Deep Learning libraries like keras, tensorflow.
Exposure to algorithms like CNN, RNN, LSTM.
Tagged as: AI, data science, deep learning, machine learning, python, R
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