Metrics, problem statement, classification models that can be used for regression, linear algorithms
Bagging, Random Forest, boosting, stacking
Work with features
Work on a commercial project
Methodology of solving a problem with a teacher (crisp dm) and Real case (prediction and outflow clustering)
Skills, that you will acquire
Machine learning skills
- Knowledge of machine learning algorithms and understanding of the principles of their work - Mastering the methodology of working with data - Ability to lead a project from start to finish
Knowledge of data analysis tools
- Mastering modern methods and tools for analysing and processing data - Ability to extract valuable information from large data sets and use it effectively
Ability to build models for solving business cases
- Computer vision - HR analyst - Scoring - Audio and video analytics
Our experts will help you to become a data scientist
Technical director of the company "ChatMe", Data Scientist. Works on challenging tasks in the areas of classical machine learning, Deep Learning and Natural Language Processing. Conducted several courses on machine learning / data analysis / artificial intelligence in Russia and Kazakhstan.
Lead Data Scientist in "Expasoft". Expert skills in Python, SciPy Stack, Sklearn, Seaborn, TensorFlow, Keras, Torch, NLTK, spaCy, gensym. Alexander worked on following projects: Face Recognition (based on Convolution neural networks and deep learning), brand detection and recognition (Deep Learning), machine learning for bank transactions monitoring (TOP-10 Russian banks), credit scoring model, online traffic user classification, training courses in machine learning.
Data Scientist in "Expasoft". Expert skills in Python, Tensorflow, Keras, openCV, machine learning, computer vision, predictive analytics, data analysis. Has scholarships from Schlumberger, British Petroleum, Baker Hughes. Won 1st place in the online part of PicsArt AI 2018 - Computer Vision solution for portrait segmentation, 2nd place at Venture Day Minsk 2018, Minsk.
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