WebAbout. Experimental psychologist with solid programming skills and a passion for teaching and mentoring. Research focus: eye movements in VR/AR; user experience (HCI/UX) in VR/AR; data visualization and visual analytics in VR. Skills: * Data analysis: statistics, data visualization, big data, python (numpy, pandas, scipy), MATLAB, hadoop. WebI am currently working as Data Scientist in TATA CONSULTANCY SERVICES, having around 3.75 years of overall industry experience. Current Skills are - Deep Learning (Tensorflow 2.0. Keras and Python) Machine Learning and Data Science (Pandas, NumPy, SciPy, Scikit Learn, Seaborn, Matplotlib) ML Flow Python, R, SAS (Programming Language) R …
Eldin Sahbaz - Senior Data Scientist - bp LinkedIn
Web19 Feb 2024 · SciPy (pronounced “Sigh Pie”) is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, … WebSciPy 1.10.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been … foot style shoes
scihub · PyPI
WebA self-learning person and programmer, I taught myself programming through the internet resources. I am much more interested in Data Science and to work on various applications involved in Artificial Intelligence. TECHNICAL SKILLS PROGRAMMING LANGUAGE: Python, C , Html ,CSS PYTHON PACKAGES: Pandas, NumPy, Seaborn, Scikit learn, SciPy, Matplotlib, … WebSciPy git clone. Tags. No tags have been added In a Nutshell, fabianp's scipy..... has had 21,784 commits made by 969 contributors ... learn about Open Hub updates and features on the Open Hub blog. About Project Security. Code. Lines of Code. Activity. Commits per Month. Community. Contributors per Month. Languages. Web6 Jan 2024 · Here’s an example of working with SciPy: Python import noisereduce as nr from scipy.io import wavfile # load data rate, data = wavfile. read ( "voice_with_noise.wav" ) # perform noise reduction reduced_noise = nr. reduce_noise ( y = data, sr = rate) foot super league