Scipy työt

It is a small task to finish for an expert. The original code is running fine without any...define these variables in the scripts) Here check ROI at , preload_spec.py. If needed check other scripts in likelihood. This is done when the original code runs with omega and JHess value. Check my CHANGED-.... folder (I tried the variables at there) and info word document to apply the variables (omega and JHess) Skills in mathematics (functions) and python scientific computing (scipy etc) It is a physics data analysis. 25 dollars for this task. Use the ORIGINAL-... folder and look at for how to run the job. To help yourself look at my tasks document and changed-... folder. They are at here:

...with working on Recommendation Systems. Must be well-versed with deep learning frameworks such as TensorFlow or Keras. Must be proficient in Python and other machine learning languages Deep understanding of data structures, data modeling, and software architecture. Ability to conduct a rigorous analysis of data and chart out clear take away(s) from Big Data sources. Python packages such as Numpy, Scipy, Pandas, Sklearn, Matplotlib and Tensorflow/Keras. Experience with various messaging systems, such as Kafka or RabbitMQ will be considered a plus Should possess the ability to design solutions independently based on high-level architecture. Deploying the model into production, detecting anomalies, fine-tuning HyperParameters, and cross-validating as needed. Estimating resources, GP...

I am a highly experienced Data Scientist and visualization professional with a focus on maximizing customer satisfaction and exceeding business objectives with conscientious and detail-oriented approaches. I have proven track record in data science, data visualization, data analysis and databases m...business solutions from analysis of simple to complex datasets. Ability to intuit, understand and communicate the meaning of data analyses with individuals in a wide range of strategic and operational roles, in both written and oral form Strong business analysis skills and deep understanding of analytics Tools: Databases Management Systems: SQL server, NoSQL, MySQL Machine Learning: Scikit Learn/Scipy, tensorflow, Keras, OpenCV Analytical Tools: Pandas/Numpy/Python, PostgreSQL, Micro...

...with working on Recommendation Systems. Must be well-versed with deep learning frameworks such as TensorFlow or Keras. Must be proficient in Python and other machine learning languages Deep understanding of data structures, data modeling, and software architecture. Ability to conduct a rigorous analysis of data and chart out clear take away(s) from Big Data sources. Python packages such as Numpy, Scipy, Pandas, Sklearn, Matplotlib and Tensorflow/Keras. Experience with various messaging systems, such as Kafka or RabbitMQ will be considered a plus Should possess the ability to design solutions independently based on high-level architecture. Deploying the model into production, detecting anomalies, fine-tuning HyperParameters, and cross-validating as needed. Estimating resources, GP...

...with working on Recommendation Systems. Must be well-versed with deep learning frameworks such as TensorFlow or Keras. Must be proficient in Python and other machine learning languages Deep understanding of data structures, data modeling, and software architecture. Ability to conduct a rigorous analysis of data and chart out clear take away(s) from Big Data sources. Python packages such as Numpy, Scipy, Pandas, Sklearn, Matplotlib and Tensorflow/Keras. Experience with various messaging systems, such as Kafka or RabbitMQ will be considered a plus Should possess the ability to design solutions independently based on high-level architecture. Deploying the model into production, detecting anomalies, fine-tuning HyperParameters, and cross-validating as needed. Estimating resources, GP...

...different/several models to predict unexpected device failures. The project deliverables consist of detailed reports describing the tested models, including cons and pros, applicability, modeling, accuracy, improvements, aspects of the data engineering process and anything else of relevance to describe the input data, the models and their expected results. MySQL, MS Excel, and Python (Matlab, Numpy, Scipy, etc.) are applications you know very well and you can setup models like Random Forest, Neural Nets, Boosted Trees, and the like. For this project I’ll favor freelancers (over agencies), who know how to analyze process data from different field instruments, like meters, valves, and the like. This is a pilot project for a client of mine. Help delivering what he needs, ...

...names are exactly as in the conf file. order not important #remove trailing and leading spaces in values #replace cells with wrong format by empty string (check Regex column in configuration file) # replace cells with wrong values (below min, over max, is zero ...) by empty string #Fill missing values based on rules in conf df "Missing Value Fill Method" [using pandas, numpy and scipy only] #implement methods for 'ma' moving average with previous and next available values from same column[first value and last value missing will be equal to closest value available], and 'lr' linear regression using sklearn and 'knn' using fancyimpute () #apply sigma filtering on all columns based

Scientific computing(Computational physics) using python coder should be comfortable with SciPy, Numpy

I have a data set with 45,000 row and 9 columns. The data set needs to be cleaned and a prediction model needs to be created for one of the column/feature ("ratings"). It should be done on Jupyter Notebook, using ONLY the following: Python Libraries (numpy, scipy, matplotlib, scikit-learn) AND NO OTHERS!

I am looking for some one who is good in Data Analytics and python. a person must know numpy, Pandas, Matplotlib, Scikit-learn, SciPy for data cleaning, processing, visualization

I have created Machine learning model on signal data ( csv format ) using Xgboost library. Model is working fine in Python on cloud. I want it to run on mobile application in offline mode. Can you do this? For feature extraction in data, it does some signal processing using scipy and rpeakdetector. I want to run this model in mobile application. If you apply for the job, put you proposal with 1. What do you understand about the problem 2. What experience you have in this space 3. What approach will you use? Deliverable 1. Xgboost model which works offline in mobile device

3+ years of combined Python engineering and machine learning writing maintainable, testable, production-grade Python code. Understanding of different machine learning algorithm families. Good command of scientific Python toolkit (numpy, scipy, pandas, scikit-learn). Software design and peer code review skills Experience with automated testing and test-driven development in Python Experience with Git + AWS + CICD

I would like to convert gps and attitude data from a csv format into the .fdr format readable by x-plane simulator. I have found a plugin for that task but cant execute it. I need help with installing Python (including NumPy and SciPy) on my PC and converting the .csv file into .fdr. Here you find mor on how the plugin works: Thanks!

...requirements and convert them into research tasks, how to use data to find new insights, how to conduct research, how to make conclusions from research. - Skills as a Data Scientist: feature and relationship analysis, tests (t-test + p-test), big data... - My mentor can assign me tasks to improve my skills, review my work, give me feedback, answer questions. I have experience in python, numpy, scipy, pandas, matplotlib... But I am especially finding logical thinking and statistics challenging. I can study in either Vietnamese or English. Mentoring hours would be as follows: 1 weekend Saturday or Sunday, each lesson for 2 hours (We can talk about this) Total 2 hours per week ------------------------------------------------------------------------------------------------------...

...implement the Numerical method DEM for simulation. Please read the requirements fully before you respond - The cost category is indicative, and once you are shortlisted we can detail it out. Please respond with your approach, and how you plan to build this so we can discuss this further. High-Level Requirements: 1. knowledge of the Python and the related library such as :time, random, numpy , math, scipy, matplotlib, import csv, import json , import os, pygame, as animation, cpostscriptplot ..., 2. Best knowledge in C++ and related library that meets the requirement to convert the python code. 3. knowledge of object-oriented, using classes … 4. knowledge of array and pointer in c++ in order to change the python list to the array. The objective is that the code which i...

...implement the Numerical method DEM for simulation. Please read the requirements fully before you respond - The cost category is indicative, and once you are shortlisted we can detail it out. Please respond with your approach, and how you plan to build this so we can discuss this further. High-Level Requirements: 1. knowledge of the Python and the related library such as :time, random, numpy , math, scipy, matplotlib, import csv, import json , import os, pygame, as animation, cpostscriptplot ..., 2. Best knowledge in C++ and related library that meets the requirement to convert the python code. 3. knowledge of object-oriented, using classes … 4. knowledge of array and pointer in c++ in order to change the python list to the array. The objective is that the code which i...

...implement the Numerical method DEM for simulation. Please read the requirements fully before you respond - The cost category is indicative, and once you are shortlisted we can detail it out. Please respond with your approach, and how you plan to build this so we can discuss this further. High-Level Requirements: 1. knowledge of the Python and the related library such as :time, random, numpy , math, scipy, matplotlib, import csv, import json , import os, pygame, as animation, cpostscriptplot ..., 2. Best knowledge in C++ and related library that meets the requirement to convert the python code. 3. knowledge of object-oriented, using classes … 4. knowledge of array and pointer in c++ in order to change the python list to the array. The objective is that the code which...

...developed a library for computational biophysics that we would like to share with other scientists around the world. To do that, we want to make this library easy to use and install, in addition to being scientifically useful. We want help doing a good job with packaging, automated testing, dependencies, and ensuring that our code is compatible with the latest minor versions of python, numpy, and scipy. In particular, your responsibilities will be: - Make optional our mpi4py dependency (only one submodule, , requires functionality from this library, and it's only used in special situations) - Improve so that it correctly install dependencies and compiles cython extensions in a cross-platform way. In particular, we use rely on cython's OpenMP support in several places...

I need a trustworthy developer who can work continuously on small and big ad hoc projects. Some weeks will be a lot of work others less work. Technical skills required: Linux/bash, Python3, jupyterhub, scipy stack, flask, django, async programming, javascript, some knowledge of html5, css3 and machine learning/data science would be good. Communication required Should be able to communicate in english to understand my requirements. Should be available daily for communication and status updates unless otherwise instructed Please always be honest about skill levels and progress and let me know if there are some issues. Preferred communication platform: skype or slack Misc: Hourly rate: 25USD

1) I attached a ipynb file with some scratch work and a csv data set. 2) You have to obtain the extreme values using pareto fit (values above 95 th percentile). 3) Now you have 2 data frames (Values below 95 th percentile and above 95 th percentile) 4) You have to fit a SVR model for the both data sets. compute the R squared and RMSE values. The features and values need to be used for the model are also described in that ipynb file. 5) I am attaching a python source file just for reference, If useful.

Looking for a devops guru who can setup a new standalone VM running Ubuntu 16.04 with the following components installed and configured to utilize a GPU Python 3.7+ Necessary python modules for vptz: multiprocessing imutils ReadSettings cv2 numpy matplotlib joblib skimage pandas sklearn scipy mrcnn ffmpeg keras tensorflow pytorch cython shapely farneback3d Package that needs gpu support: Opencv CV 4.1.0 with GPU built flag Tensorflow 2.0.0 Pytorch 1.1.0 farneback3d

Need someone to join our company precision Mobile to work along with my current python developer to maintain and enhance our current system. - Data collection, - Machine learning, AI, deep learning. - Complex algorithmic topics(Dynamic programming, Divide and conquer) - Back end web development (Django, flask, bottle, Dash), - System automation and shell scripting. - Matplotlib, numpy, scipy - UIs(qtpy, tkinter, PyGtk) - Browser automation(Selenium mainly) - Web scraping and crawling

Search engine for large database Preferred experience in * C++, C#, .NET, WPF, MFC, Java, Qt/QML, Python, VB, VB.NET, Matlab * Python, Numpy, pandas, Scipy, skit-learn, keras, caffe, etc. * OCR, Tesseract, ALPR/ANPR, Image/PDF to CSV Conversion, Invoice Reader * OpenCV, EmguCV, , Tensorflow, Leptonica * Web scraping, Data Mining, Data Clustering, ML, CNN, Deep Learning, AI, NLP * Algorithm: Wavelet, PCA, ICA, SURF/SIFT, Machine Learning, Neural Network * HTML5, CSS3, Bootstrap, Javascript, jQuery... * D3.js, , , HighChart.js... * Live Chart, SciChart, * Android, Mobile Phone app

...requirements and convert them into research tasks, how to use data to find new insights, how to conduct research, how to make conclusions from research. - Skills as a Data Scientist: feature and relationship analysis, tests (t-test + p-test), big data... - My mentor can assign me tasks to improve my skills, review my work, give me feedback, answer questions. I have experience in python, numpy, scipy, pandas, matplotlib... But I am especially finding logical thinking and statistics challenging. I can study in either Vietnamese or English. Mentoring hours would be as follows: 1 weekday, 1 hour from 21:00~22:00 JST, Tokyo Time (fixed) 2 weekends Saturday and Sunday, each lesson for 2 hours (We can talk about this) Total 5 hours per week -----------------------------------------...

I need to design a high pass filter that attenuates frequencies lower than 3Hz. This filter has to be written in C language and it will be implemented in a microprocessor ESP8266 using Arduino software. As result, I need to compare the designed filter with the butterworth highpass filter from scipy (python) (order=5). They need to match in terms of accuracy. Follow attached a vibration data from the accelerometer.

• Expertise in python with experience in libraries like NumPy, SciPy, spacy, rasa, nltk, keras, tensor flow, pyspark, scikit-learn, matplotlib, pandas, JupyterLab • Hands on experience using containers, big data platforms like Hadoop and Spark and/or cloud infrastructure covering technologies like HDFS, Hive, Impala, ElasticSearch, Docker, Kubernetes, Parquet, Avro, RDD • Hands on experience with relational SQL and no-sql database technologies like Oracle, HBase, Cassandra, SparkQL, SQL, ODBC, JDBC • Experience with logging and monitoring tools (ElasticSearch, Logstash, Kibana) and performance analysis • Experience with batch scheduling technologies like Control-M, Apache Airflow • Experience with REST web services and messaging technologies like M...

to learn how to achieve rapid engineering solutions using Python libraries and functions readily available on the internet. The Python libraries include NumPy, SciPy, matplotlib, pandas, and scikit-learn for example. The focus is on rapid solutions on wall-clock time, not necessarily CPU time. At the end of this course, the student will have been exposed to wide variety of computational problems from engineering and physics and have become acquainted with a typical approach to their solution using Python

Linear regression in Python (Numpy, Scipy). I will share more information on chat.

I am writing python code for a small software and I need a python expert in pandas and scipy to help me. Please send only developers that are experienced with data science and the above libraries

Needs to be able to import a spreadsheet (or csv) and perform spectral analysis on the columns. Coherency and gain, cross-coherency, cross-gain needs to be calculated. The import should be able to detect the number of columns and include the columns automatically in the spectral analysis. The analysis must be able to be performed on a group by basis, i.e., each group is a separate time series. Scipy number crunching of the FFT would be preferred.

Needs to be able to import a spreadsheet (or csv) and perform spectral analysis on the columns. Coherency and gain, cross-coherency, cross-gain needs to be calculated. The import should be able to detect the number of columns and include the columns automatically in the spectral analysis. The analysis must be able to be performed on a group by basis, i.e., each group is a separate time series. Scipy number crunching of the FFT would be preferred.

Write numpy IIR example based on Laplace transfer functions See attachment for equations and the parameters. I need the code running in readable numpy/scipy code that I can later port to ARM CMSIS-DSP code. The program needs to show an impulse response so that I can see the filter characteristics is as expected.

Needs to be able to import a spreadsheet (or csv) and perform spectral analysis on the columns. Coherency and gain, cross-coherency, cross-gain needs to be calculated. The import should be able to detect the number of columns and include the columns automatically in the spectral analysis. The analysis must be able to be performed on a group by basis, i.e., each group is a separate time series. Scipy number crunching of the FFT would be preferred.

...Machine Learning (techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision tree, clustering, artificial neural networks, GAN, genetic algorithms, etc.); • experience with deep learning; • experience with Reinforcement learning; • Experience of Natural Language Processing and in particular Information Extraction; • experience in standard technologies of data science (PyTorch, Pandas, Keras, SciPy, SciKit, Tensorflow, NumPy, MatLab, etc.); • Experience in creating data storage and processing architecture and knowledge (data architectures, data models, data warehouses / data lakes). • Knowledge of the semantic web Cognitive Systems Requirements: • successful experience in creating cognitive decision-making systems and knowledge represen...

...General requirements for data analysis and big data: • Experience with Machine Learning (techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision tree, clustering, artificial neural networks, etc.); • Deep Learning experience; • Experience of Natural Language Processing and in particular Information Extraction; • experience in standard technologies of data science (PyTorch, Pandas, Keras, SciPy, SciKit, Tensorflow, NumPy, MatLab, etc.); • Experience in creating data storage and processing architecture and knowledge (data architectures, data models, data warehouses / data lakes). Knowledge Engineering Specific Requirements: • experience with semantic web (SPARQL, Linkde data, RDF, OWL, SWRL, RuleML, etc.); • experience with ontologies;...

Needs to be able to import a spreadsheet (or csv) and perform spectral analysis on the columns. Coherency and gain, cross-coherency, cross-gain needs to be calculated. The import should be able to detect the number of columns and include the columns automatically in the spectral analysis. The analysis must be able to be performed on a group by basis, i.e., each group is a separate time series. Scipy number crunching of the FFT would be preferred.

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I need someone who is familiar with SciPy optimization (if there is a better alternative, I would be open to a suitable Python solution). I will provide a dataframe and need someone who would be able to build the optimizer for me, with given constraints and optimisation targets.

...competencies): - Key skills: Python, MongoDB, SQL, Advanced MS Excel, R, d3.js, Machine learning, Data analysis and visualization, Natural language processing, Predictive modeling, Data cleaning, Web scraping - Strong programming skills in Python with prior experience of building data models and reporting packages - Ability to analyze large datasets (csv or json), using modules such as pymongo, pandas, scipy, numpy...

...a door, buzz a user in, etc.  The controller can control anything on the IP network.  We are using a Raspberry Pi for the laser beam activation. For embedding the feature extraction from the detected face, we are using Dlib’s face feature based on face landmarks.   As for Face identification: the candidate will be SVM (supper vector machine) classification algorithm, which was implemented with Scipy in Python. --> This is where I need the help: If the user's face is NOT detected, a message displays that says "Unrecognized user" and the user is prompted to register at the front desk. The user fills out contact details in Salesforce. The login page is really a Salesforce site that creates a new contact in Salesforce. The user can use the...

I need to use least squares optimisation to fit a model to a curve to estimate the 3 unknown parameters k2, k2a, r1. An initial estimate is given. I need to then be able to print these three parameters and plot the model with the actual curve for evidence. All the data is provided in the file uploaded and this link gives an example- under least squares minimisation.

I need an environment where I can freeze python 3.7 code with Nuitka for Windows 64 bit standalones. The code imports a number of packages (numpy,scipy, Matplotlib,...). I tried to set it up myself, but failed. However, I am not a professional developer and I think it can be solved by someone who is experienced. I thought of a virtual box with a clean windows and all needed Python distribution installed that I will only use for freezing my codes. But I am open for suggestions. I will provide sample code for testing.

...jsp,servlets, Hibernate, Java RESTAPI, scala, Microservices) | Mulesoft | Mobile apps(Android, IOS, Ionic), | SAP(Sap BW, SAP FICO, SAP BO, Every other Sap Framework) | Salesforce(salesforce admin, Salesforce development, Data loader,Every other Salesforce Framework) | QA(Selenium, Katalon Studio, UFT, Watir, IBM Rational Functional Tester, Every other testing tool) | Data Scientist( NumPy, SciPy, Pandas, matplotlib, IPython, PySpark, Every other testing tool) | Oracle(Oracle Database, Oracle RAC (Real Application Cluster) ) | Monitoring( Grafana, Nagios, Zabbix, Logstash) UX Design(Sketch App, Zeplin, Adobe Creative Cloud, Invision) Informatica, OBIEE, odi, dac, PlSql If you are expert in any other technology and looking for freelancing work. Please ping me. Pay: No bar ...

, therefore we will need to deal with advanced mathematical  logic, together with traditional machine learning (no neural networks  and deep learning).  Moreover, in order to have an impact, advanced programming abilities,  such as python using numpy, scipy, pandas, and rdflib to interact with  triple stores, or equivalently in Java/Matlab are strongly advised.  Finally, as human users will be the ultimate recipients of this  research, appreciation of Human-Computer Interaction issues is advised. 

I will give you three audio files and I need the following completed. 1) FFT 2) Spectogram 3) Audio display You must use Python3 for this and Scipy or other libraries. Thanks, Roman

I want a 1 dimensional Convolutional Neural Network. I am uploading the statement as pdf as well as the required data files. We dont want use of libraries and limit them as much as possible (Numpy and matplotlib can be used and panda or scipy for data extraction). Also, this program needs to be simple so a beginner can understand. A Pseudocode in very simple language is needed to be provided as well. Basically we want to classify few ECG signals. Code has to be original!!

Dear python experts, I need to create a male/female dataset using the publicly available IMDB dataset. IMDB: "download faces only" 7 GB and also download meta data Use Python’s SciPy library to parse the meta data. Following information is present in meta data dob: date of birth (MATLAB serial date number) photo_taken: year when the photo was taken full_path: path to the image gender: 0 for Female and 1 for Male, NaN if unknown face_score: detector score (the higher the better). second_face_score: detector score of the face with the second highest score. (useful to ignore images with more than one face). And this is NaN if no second face was detected. Do the basic clean up mentioned in the following url.

Implement a reinforcement learning algorithm in Python with an agent and environment to work with the attached CSV file. The system shall: 1) Load in the input file 2) Attempt to maximize the average reward obtained across N configurable features (in this case examining columns 5-14, and beginning wi... 2) Attempt to maximize the average reward obtained across N configurable features (in this case examining columns 5-14, and beginning with N=4) 3) Output the step take at each epoch along with the corresponding reward obtained 4) Loop until the algorithm has converged for X epochs (where X is configurable but is initialized to 12) The system shall utilize numPy. The system may also utilize sciPy, Tensorflow or Keras. Other libraries or frameworks may be fine but should be discu...

Take the Policy Gradient Actor-Critic Solution implemented here and modify it to work with the attached CSV file. The system shall: 1) Load in the input file 2) Attempt to maximize the average reward ...shall: 1) Load in the input file 2) Attempt to maximize the average reward obtained across N configurable features (in this case examining columns 5-14, and beginning with N=4) 3) Output the step take at each epoch along with the corresponding reward obtained 4) Loop until the algorithm has converged for X epochs (where X is configurable but is initialized to 12) The system shall utilize numPy, sciPy, and Tensorflow as found in the linked implementation

Code a water balance model in python and package this as an open source distribution with a historical dataset. Working knowledge of standard scientific Python environment (numpy, scipy, matplotlib)