Uladzislau K.

Hi 🖐️, if you are looking for an expert in data analysis, deep learning and machine learning, 𝐭𝐡𝐞𝐧 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐟𝐨𝐮𝐧𝐝 𝐨𝐧𝐞 ✔️. I get high on what I do and completely immerse myself in work. I am completely immersed in the world of science, mathematics and machine learning. I specialize in the Analysis and Forecasting of Time Series. In working with time series I use naive models, moving average models, ETS, SARIMAX, LinearRegression, ElasticNet, Boostings and various neural network architectures VanilaLSTM, CNN-LSTM, ConvLSTM, DeepAR, DeepSSM, MQRNN, Seq2Seq, TFT. I have experience working with deep neural networks, namely fully connected neural networks and not fully connected neural networks. Recurrent neural networks, convolutional neural networks, generative adversarial neural networks, genetic algorithms and other methods of traditional machine learning. Accordingly I also have experience in Time Series Forecasting, Natural Language Processed, Computer Vision. 𝐒𝐤𝐢𝐥𝐥𝐬: ----------------------------------- 𝘿𝙚𝙚𝙥 𝙡𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚: - ANN - DNN - CNN - RNN/LSTM/GRU - CNN-LSTM, ConvLSTM - AE/VAE/CVAE - GAN - Transformers 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙡𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚: - Linear regression/Logistic regression - KMeans/KNN - SVM - Decision tree/Random forest - XGboost/Catboost/LightGBM - ETS, SARIMAX, Prophet 𝙁𝙧𝙖𝙢𝙚𝙬𝙤𝙧𝙠𝙨 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚: - Tensorflow - Keras - Pytorch - Pandas - Numpy - Scikit-learn - Matplotlib - Seaborn - Mplfinance - Statsmodel - Factor_analyzer - Keras_tuner - Talos - Darts - Etna 𝙋𝙧𝙤𝙜𝙧𝙖𝙢𝙢𝙞𝙣𝙜 𝙡𝙖𝙣𝙜𝙪𝙖𝙜𝙚𝙨 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚: - Python - SQL - JavaScript - C++(beginner) - C(beginner) 𝙏𝙤𝙤𝙡𝙨 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚: - Google Colab - Jupyter-notebook - Pycharm - VScode - WebStorm