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Jesse Gailbreath's Projects

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-school icon deep-learning-school

Официальный репозиторий курса Deep Learning (2018-2021) от Deep Learning School при ФПМИ МФТИ

machine-learning-classification-regression-twitter-buzz icon machine-learning-classification-regression-twitter-buzz

Buzz Prediction on Twitter: Buzz Prediction on Twitter Project Description: There are two different datasets for Regression and Classification tasks. Right-most column in both the datasets is a dependent variable i.e. buzz. Data description files are also provided for both the datasets. Deciding which dataset is for which task is part of the projec

matrixmultiplicationaws icon matrixmultiplicationaws

Sequential and parallel version of the matrix multiplication algorithm. The algorithms are in C language.The parallel version has been coded using the Open MPI library.

mpi_log icon mpi_log

Determines if there is a one-to-one correspondence between sends and receives from given log file.

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