15 Frameworks For Mastering Machine Learning
This article is a guide for anyone interested in using machine learning frameworks in their organization.
Multinational company "Konstruktor" is looking for Senior Data Scientist / Cognitive Systems Engineer! What has to be done: Development of a decision-making system in ...patterns (for example, Blackboard); - experience with Machine Learning (techniques and algorithms such as cnn, Naive Bayes, SVM, Decision tree, clustering, artificial neural networks, GAN, genetic algorithms, etc.); - Deep Learning; - Reinforcement learning; - e Natural Language Processing and in particular Information Extraction; - experience with PyTorch, Pandas, Keras, SciPy, SciKit, Tensorflow, NumPy, MatLab, etc.; - experience in data architecture, data models, data warehouse/data lakes. semantic web. If you are looking for an opportunity to gain experience in an international company, please, co...
Hello clients, I have 5+ years of experience in software industry and I am looking for projects based on Backend Functionalities requirements including REST API Integrations. These are my expertise- Python - Django Web framework MySQL/PostgreSQL database RESTful API Development Numpy , Pandas libraries PAYPAL, STRIPE payment API Integrations Have Developed software on E commerce , Business sectors, Real Estate sectors, Logistic firms. Provided LMS software for educational Institutes. My aim is to provide full satisfaction to my clients working on the projects. Do contact me for a future relationship for further projects. Regards Sakshi
Here are the projects I want, Pandas: . Explore at least 10 pandas functions and write useful scripts using them. (Hints: create a dataframe from lists, numpy array; show a dataframe; print/select few columns and rows from a dataframe; change the original column names; if the class labels are in string, convert it in numbers; concatenate/insert new column, etc.) Scipy: . Explore at least 10 scipy functions and write useful scripts using them. Requests: Explore at least 3 request functions and write useful scripts using them. (Hints: create a HTML page which takes a color image and shows it in gray; input an URL, then it shows the image with its descriptions such as width, height, extension of the file, etc.) Cython: Explore cython and write a cython code to demonstrate C-Pyth...
Here are the projects I want, Pandas: . Explore at least 10 pandas functions and write useful scripts using them. (Hints: create a dataframe from lists, numpy array; show a dataframe; print/select few columns and rows from a dataframe; change the original column names; if the class labels are in string, convert it in numbers; concatenate/insert new column, etc.) Scipy: . Explore at least 10 scipy functions and write useful scripts using them. Requests: Explore at least 3 request functions and write useful scripts using them. (Hints: create a HTML page which takes a color image and shows it in gray; input an URL, then it shows the image with its descriptions such as width, height, extension of the file, etc.) Cython: Explore cython and write a cython code to demonstrate C-Pyth...
Here are the projects I want, Pandas: . Explore at least 10 pandas functions and write useful scripts using them. (Hints: create a dataframe from lists, numpy array; show a dataframe; print/select few columns and rows from a dataframe; change the original column names; if the class labels are in string, convert it in numbers; concatenate/insert new column, etc.) Scipy: . Explore at least 10 scipy functions and write useful scripts using them. Requests: Explore at least 3 request functions and write useful scripts using them. (Hints: create a HTML page which takes a color image and shows it in gray; input an URL, then it shows the image with its descriptions such as width, height, extension of the file, etc.) Cython: Explore cython and write a cython code to demonstrate C-Pyth...
This project involved developing a linear regression model given a dataset. Please review the attached file for details about the project. Need to provide solution to each section/questions in the attached file. This project should be done in Python using either the Scikit-Learn or Scipy libraries (along with other common data science libraries like Pandas, Numpy, etc.). The code should be well-written and documented. I have extensive experience with Python and will review the code closely. I will share the dataset after the project has been awarded. ONLY people with modeling and data science experience.
The project is to help me shift my current system of financial equity research from Excel based working to python and take my data to a cloud SQL database and computations in Python. Also, since i intend to keep excel for GUI for most of my working, the knowledge of xlwings library is seeked along with the usual Pandas / Numpy / Seaborn (or underlying matplotlib) libraries I am not looking for a one time project but more like a co-development project on a consistent basis so please apply ONLY and ONLY when you have atleast 6 months of foreseeable availability. I will be actively involved in each and every step. Am finding little time to code myself because of other engagements but would want to co-discuss and co-develop the project. I foresee around 20 hours of active engagem...
The project is to help me shift my current system of financial equity research from Excel based working to python and take my data to a cloud SQL database and computations in Python. Also, since i intend to keep excel for GUI for most of my working, the knowledge of xlwings library is seeked along with the usual Pandas / Numpy / Seaborn (or underlying matplotlib) libraries I am not looking for a one time project but more like a co-development project on a consistent basis so please apply ONLY and ONLY when you have atleast 6 months of foreseeable availability. I will be actively involved in each and every step. Am finding little time to code myself because of other engagements but would want to co-discuss and co-develop the project. I foresee around 20 hours of active engagem...
Hi, I would like you to work on the air quality data I have collected. I have a set of uncalibrated raw data and a set of ground truth. There are 5 items that require calibration: NO2, CO, O3, PM2.5 and PM10, the raw data also includes RH and T which will be required for a temperature and humidity correction proposed by you. I will need you do the followings, with Python and libraries NumPy, Pandas and Sk-learn: 1. synchronise the data as per the minute, the raw data is at GMT+0 and ground truth are at GMT+8, you need to add 8 hours to the raw data 2. plot the raw data with 7 separated scattered diagrams, for the above variables against time 3. I saw that the ground truth has missing data, will need you to propose a method to deal with it (can be a simple method), please do the same...
Programming using In-built python functions (Help: and pip commands to install it in a conda environment): [please use appropriate documentation for each program] Numpy: 1. Explore at least 20 numpy functions and write useful scripts using them. Pandas: 2. Explore at least 10 pandas functions and write useful scripts using them. (Hints: create a dataframe from lists, numpy array; show a dataframe; print/select few columns and rows from a dataframe; change the original column names; if the class labels are in string, convert it in numbers; concatenate/insert new column, etc.) Scipy: 3. Explore at least 10 scipy functions and write useful scripts using them. Pendulum/Arrow/Time: 4. Explore at least 3 pendulum/time functions and write useful scripts using them. Movie...
Looking for a person who is strong in Python developement. who has used Pandas, Opencv, Numpy, Seaborn, Tensorflow, Keras, Matplotlib, Sci-kit-learn, NLTK in Python for developing data pipelines and various machine learning algorithms. MYSQL, Linux, APIs,
I am looking for a developer to be able to convert the matlab function to Python function You can not use the package such as oct2py etc. I want you to use SciPy/NumPy Matlab function is ifanbeam, fanbeam I need the result in today
Implementation of a lib in Google Earth Engine: Numjs (or its Python equivalent NumPy) to have all functions and variables just to be used as a library. The lib needs to be written in JavaScript, and needs to be executed in Google Earth Engine Web UI. It's not Python. It's to run NumJS in GEE in its WebUI
Programming using In-built python functions (Help: and pip commands to install it in a conda environment): [please use appropriate documentation for each program] Numpy: 1. Explore at least 20 numpy functions and write useful scripts using them. Pandas: 2. Explore at least 10 pandas functions and write useful scripts using them. (Hints: create a dataframe from lists, numpy array; show a dataframe; print/select few columns and rows from a dataframe; change the original column names; if the class labels are in string, convert it in numbers; concatenate/insert new column, etc.) Scipy: 3. Explore at least 10 scipy functions and write useful scripts using them. Pendulum/Arrow/Time: 4. Explore at least 3 pendulum/time functions and write useful scripts using them. Movie...
I am looking for a developer to be able to convert the matlab function to Python function You can not use the package such as oct2py etc. I want you to use SciPy/NumPy Matlab function is ifanbeam, fanbeam
I am looking for a developer to be able to convert the matlab function to Python function You can not use the package such as oct2py etc. I want you to use SciPy/NumPy Matlab function is ifanbeam, fanbeam
Python plot matrix's and Pandas, NumPy, Matplotlib, and Seaborn.
Requirements: *Strong at data analysis using python. *An understanding of basic financial and statistical concepts (probability, averages). *The ability to analyzing lists, write functions, and plot results in simple graphs using python. *Very familiar with Numpy package. Python version 3 must be used to solve these questions.
...computer when plot created on remote computer: use ssh and 1 Or port forwarding 2 Or scientific tools window for example let say I run code by pycharm on AWS and this code created picture. How I will see this picture on my local computer ? LIKE IT IS HAPPEN ON JUPYTHER NOTBOOK fool feeling like development happen in local computer? import as plt # do your plotting import numpy as np a=(100) b=(100) (a,b) () Remote plots can be shown in scientific tools window, even when using SSH interpreter. Another option is to disable showing plots in SciView in Preferences | Tools | Python Scientific, and use X11 port forwarding to show plots in the native UI.
The code should be: - Memory efficient - Uses both CPU and GPU - Class based where each aspect of the YOLO is classed such as backbone, neck, anchor_box, ... etc - Can be...Memory efficient - Uses both CPU and GPU - Class based where each aspect of the YOLO is classed such as backbone, neck, anchor_box, ... etc - Can be trained with with or with a pretrain weight - Saves the model - Randomly creates a validation set - Validate the accuracy and training time - Should also output confidence. What the design can use: - Use any supporting libraries such as OpenCV, Numpy, ... etc - Use public dataset such as COCO to train the design Deliverable: - Coded algorithm in Python using PyTorch - Test of the code preform using the public dataset Extra Information is given aft...
Hi, I need help from an expert in Python. Preferably you are in the data science field, you are quite familiar with Pandas, Numpy, Scipy and Scikit-learn libraries and you can write your own functions easily. I'm already a junior-mid level data scientist and I need to get the perfect solutions to the problems I have so please only apply if you are fully confident in your coding skills. Our work will take place tomorrow, anywhere between 9:00 - 19:00 (GMT+2) and it will take maximum of 3 hours. I need someone to stay online during this 3 hours, apply if you are available in these hours!
Convert a pine script indicator into a python indicator. You can make us of numpy, pandas and talib (). You can find the indicator in the attachments.
am working on a problem - river crossing (similar to Missionaries and Cannibals problem). No fancy packages. You can use BFS and a tuple. I will share writeup and starter code via messenger. Simple problem for pro. Looking for long term help with many projects. For future projects, must have experience with python, openCV, Numpy, and pillow all latest versions.
Reduce size of brain mri images stored in numpy arrays.
...able to work in a Jupyter Notebook on your computer. Please revisit our Jupyter Notebook and Anaconda tutorials earlier in the Nanodegree program for installation instructions. The following packages (libraries) need to be installed. You can install these packages via conda or pip. Please revisit our Anaconda tutorial earlier in the Nanodegree program for package installation instructions. pandas NumPy requests tweepy json You need to be able to create written documents that contain images and you need to be able to export these documents as PDF files. This task can be done in a Jupyter Notebook, but you might prefer to use a word processor like Google Docs, which is free, or Microsoft Word. A text editor, like Sublime, which is free, will be useful but is not required. Ensure y...
I am looking for a machine learning, deep learning, deep reinforcement learning or any other classifier. I will provide the data to you in .npy format (numpy binary format). The data is already separated in x and y data. The data is already in matrix (x) and columb (y). Both are validated. So it is not necessary to work to improve or format the data. You may split the x and y in 2: training and test. I would suggest to split into 2 pieces not randomly picked, because each row in the x has information from previous rows. After the separation, you can shuffle the training data if you want. I already have a model running and i have good results from it. The challenge is that you must provide a better solution. To validate that, another matrix with new x values will also be provi...
Django + Vue.js image processing web app - django - opencv - numpy - bioformats - vue.js full-time position long-term monthly contract (300~400$/mo) must know jira, bitbucket, slack
Django + Vue.js image processing web app - django - opencv - numpy - bioformats - vue.js full-time position long-term monthly contract (300~400$/mo) must know jira, bitbucket, slack
Skills: - django - opencv - numpy - pillow - vue.js monthly salary 300~400$ full-time work
i have a python code ready, i need you to run it on your system and report me the output. you'll need to do it several times, remember, budget is no more than 10$. modules required: tkinter numpy matplotlib tensorflow keras opencv-python operating system: windows 10
I need to make a simple game in which one controls a ball and needs to push other balls off of a platform. Only pathlib (or os) and numpy can be used to make this work. The platform is made of empty tiles (0) and walls (1) separated by empty columns in a .txt file. The ball that is controlled is represented by the letter X. The other balls are represented by other letters (A, B, C...). The player gives a command to move the ball that consists of direction and momentum. "R4" means 4 moves to the right, "U2" means 2 moves up, "D5" means 5 moves down, "L1" means one move to the left. The ball can move horizontally and vertically, not diagonally. If a ball touches another, the ball stops and the other ball moves forward with the same momentum a...
- Looking for someone to do the development, and help with technology choices along the way. - System will be low-complexity and rock-solid execution. - Special focus on deep visibility...requirements - We *collaborate* in choosing the right technologies to be used - Choice of languages, libraries, frameworks, storage, execution environment and hosting. - You bring expert recommendations based on your experience. - Usually consists of Python on the backend, Javascript on the front-end. Phase 1: - Data Ingestion: APIs, CSVs and Webscraping - Intermediate storage: Pandas/Numpy, or Javascript equivalents - Data visualization: Javascript libraries, and/or Plotly, etc. - Longterm storage: database, JSON, XML, or other Phases 2 & 3 will be sourced based on resul...
I have a dataset and need someone who can compare, analyze and evaluate the prediction performance of 3 ML techniques. All possible effort should be made to produce the best prediction accuracy. Required technical skills include python, NumPy, Pandas, Scikit-learn, Jupyter Notebooks. The analysis and the code should be in Jupyter Notebooks along with clear explanation of each code block. You can find more details about the task along with the data set attached.
first of all we have to analyze our dateset with pandas, numpy , seaborn , , researchpy libraries and we need to do Audio Data Analysis Using Deep Learning with Python
for the moment, I have coded a Python script (see attachment) that generates, with "getdist" tool (a kind of library in python available on " " ) the following kind of figure in attachment. To produce the figure, do with python3 (you need the 2 covar...me for further information : you have also informations at the end of the following paper : " " Tell me please quickly if some of your Python experts feels he can do all these modifications from my original script " " with all the requirements asked ? All the stuff to do is about plotting and doing nice plots (my script + numpy + matplotlib + getdist + ) Best Regards.
We are looking expert content creators who can develop Python for Data Science curriculum from scratch. The content is intended to cater to absolute beginners i.e. learners with no programming background, but it needs to cover ample examples and hands-on exercises to bring them up to speed starting with data structures, basic libraries (numpy, pandas, matplotlib, seaborn, plotly, regex and nltk), further making them comfortable with data wrangling (outliers, missing values, scaling, encoding, multicollinearity) and visualization(both static and dynamic) covering both structured and unstructured(text) data. The content should be able to prepare the learners for real-world data complexities and shouldn’t be limited to theoretical foundations and toy problems only. We are strictl...
We have a numpy list representing an image and an algorithm that converts RGBA color codes which are in a specified range. The current algorithm runs in O(N) time using a for loop. Use the Numpy place where condition function to improve the runtime speed for searching and updating the list of 4-tuple values.
I need some python Programmers. I need the Programmers specialised in these skills: Web Scraping Machine Learning Artificial Intelligence Data Visualisation numpy library strategy backtesting using Zerodha Api, Django, etc. If you are expert in any of the skills, Please bid here. I will give you jobs and you'll get paid after after every work. For convenience, I will contact you on telegram. I will select only one person in each skill. You'll need to show your previous work to get hired. Write "Get Hired" in your proposal to make sure you've read it completely.
Hello, I need some help in a data preprocessing task in python. We have a time series (time, value) that needs to be resampled in the following way: - Minute timespans (seconds 0..60) with more than 1 value -> downsample with mean value; set time to :30 seconds - Minute timespans with 1 value: retain, don't change time - Minute timespans with 0 values: retain Example...with 1 value: retain, don't change time - Minute timespans with 0 values: retain Example: 2020-12-20T01:01:02 2.5 2020-12-20T01:01:04 4.5 2020-12-20T01:01:05 2.0 2020-12-20T01:02:02 6 2020-12-20T01:05:02 7 Should become: 2020-12-20T01:01:30 3 2020-12-20T01:02:02 6 2020-12-20T01:05:02 7 Note that performance is important as the amount of data is rather huge. Libraries such as pandas and numpy ...
- linear regression - k-means clustering algorithm - Quantizing with k-Means - SKImage - sklearn - numpy
Code a YOLOv4-5 in PyTorch and LibTorch. The code should be: - Memory efficient - Uses both CPU and GPU - Class based where each aspect of the YOLO is classed such as backbone, neck, anchor_box, ... e...LibTorch. The code should be: - Memory efficient - Uses both CPU and GPU - Class based where each aspect of the YOLO is classed such as backbone, neck, anchor_box, ... etc - Can be trained with with or with a pretrain weight - Saves the model - Randomly creates a validation set - Validate the accuracy and training time What the design can use: - Use any supporting libraries such as OpenCV, Numpy, ... etc - Use public dataset such as COCO Deliverable: - Coded algorithm in Python using PyTorch - Coded algorithm in C++ using LibTorch - Test of the code preform using the public...
HI Guys i am needing a web app for my Final Year project The idea is to make a web app based on html css and JS and python its for a hospital to have 4 departments CNN machine learning Classification Algorithm Libraries ( Numpy, Panda) CSV file for data storage We need text classification so that we can store data in CSV files My data saved as in CVS file and we want text classification so that we can classify data
I have a 3D numpy array of shape (1240467,10,19) which I want to slice based on values in a dictionary. The value for a key in a dictionary denotes the index (for the first dimension) in the 3D array. I want this numpy array to be sliced such that for each value in the dictionary, I slice the numpy array to be of shape (201,10,19) such that the value in question will be in the centre of that sliced array (index=101). I have the code and it works for most part. But for certain cases it is giving me shapes other than (201,10,19). I want an expert to go through the code and figure out the bug.
- linear regression - k-means clustering algorithm - Quantizing with k-Means - SKImage - sklearn - numpy
I have matrix of size 1041x1114. Actually its values for some map location for each day. So for particulat lat-long if value is not available, it's NAN We have values for that location(for each lat-long) for 365 days. Using that we want to predict all lat-long values for next day. So for 1 year (365 days) we will have data in this form as numpy array - (365, 1041, 1114) Like wise I have data for 5 years. Using this I want to predict next day matrix value for each pixel. I have attached a sample code as well if you want to get some glimpse of the data. Here is data -
Small scientific python project using numpy, PyMC3 and graph results... prefer Panel, Seaborn, Bokeh or other cool graph import. Grab data from csv file, calculate data fields, then graph data. Later integration with display to web page.
...correctness of a given diagnostic question. Review the course notes if you don’t recall the details of each algorithm. For this part, you will only be using the primary data: , , , and test_data.csv. Moreover, you may use the helper functions provided in to load the dataset and evaluate your model. You may also use any functions from packages NumPy, Scipy, Pandas, and PyTorch. Make sure you understand the code instead of using it as a black box....
I have matrix of size 1041x1114. Actually its values for some map location for each day. So for particulat lat-long if value is not available, it's NAN We have values for that location(for each lat-long) for 365 days. Using that we want to predict all lat-long values for next day. So for 1 year (365 days) we will have data in this form as numpy array - (365, 1041, 1114) Like wise I have data for 5 years. Using this I want to predict next day matrix value for each pixel. I have attached a sample code as well if you want to get some glimpse of the data. Here is data -
- linear regression - k-means clustering algorithm - Quantizing with k-Means - SKImage - sklearn - numpy
This article is a guide for anyone interested in using machine learning frameworks in their organization.
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This article outlines 13 open source tools that programmers can exploit to make the most of machine learning.