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    Run the identified test in SPSS. Normality, Homoscedasticity, Missing Data, Factor Analysis, Regression Analysis, Multicollinearity, Outliers, Z scores, Logistic, Sig. The dataset consists of 177 responses, 102 questions for four factors. All results being provided must be labelled and must include the actual pictorial results submitted as editable tables in Microsoft Word. Other information will ...

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    Good day I trust you are well I am in need of a basic fingerprint recognition application The application needs to be written in C# and have a simple GUI The application will need to work as follows: - The application will not need to be connected to a fingerprint reader. Fingerprint images will be used. I will provide a dataset of fingerprint images. - The application will need to have a button t...

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    Dataset is based on one hot encoding. you need to apply transformation mentioned below to Monday to SUnday and 0-23 using this: Replace the 24 bits for hour-of-days with two features xhr and yhr, instead: xhr = sin(2*pi*hr/24) yhr = cos(2*pi*hr/24) also replace the 7 bits for day-of-week with two features xWD and yWD, instead xWD = sin(2*pi*weekday/7) yWD = cos(2*pi*weekday/7) Reasons: [login ...

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    I have a research project for which i need an experienced Python Machine learning Algorithm Developer. New or not experienced developer please do not apply for that job. Requirements for Developer is Stated below For understanding the requirements you need to read one small research paper. I need same kind of approach for my own dataset. (If you cant read then do not apply for that job) Basical...

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    I am a speech recognition expert and I want to build speech recognition system now. So, I want to make speech and language dataset for training language model. I have lots of pdf files and I am looking forward someone who can transform my pdf files to excel csv format. I prefer if you know about python well. Also, if you are a new freelancer, you will have more chances.

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    I am a speech recognition expert and I want to build speech recognition system now. So, I want to make speech and language dataset for training language model. I have lots of pdf files and I am looking forward someone who can transform my pdf files to excel csv format. I prefer if you know about python well. Also, if you are a new freelancer, you will have more chance.

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    I am a speech recognition expert and I want to build speech recognition system now. So, I want to make speech and language dataset for training language model. I have lots of pdf files and I am looking forward someone who can transform my pdf files to excel csv format. I prefer if you know about python well.

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    I am trying to create a lot of dataset now. I am looking for developer with experience of data annotator. I prefer Vietnam developer

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    Deep Learning CNN In Python CNN in Python to classify special images on the Dataset. The methods used in the code are those described in details we provide after the agreement and may be improved. The Training accuracy must be better than 95% on any label The validation accuracy must be better than 85% on any label The testing accuracy must be better than 80% on any label The code should be he...

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    I'm not familiar with VBA but am trying to find a solution to a problem I'm having performing a calculation for a large dataset of historic census data. The data is in a flatfile table with about 71,600 records. The records are divided into about 400 categories (178 records per category) which are specified by unique number for each category. I also have a formula that requires the calcu...

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    Looking for data science people. I will send you some files of python codes and send you a dataset. From those codes and dataset, prepare an exploratory data analysis report

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    expert in biostatisticts 5 days left
    VERIFIED

    seeking a person who is an expert in biostatisticts to calculate sensitivity and positive predicted value for my dataset

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    - 1200 words report (+/- 10%) - An interpretation of certain numeric dataset - This project requires data analysis, diagrams and calculations. (Must be included) - Simple Data Research - Completed within 12 hours Further details of the project will be provided after.

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    To find an insight or to analyze the data regarding an input query (video category) with the youtube impression metrics (view count, like count, dislike count, favourite count, comment count) The insight must be shown and validated with a data visualization so that it can be understandable You can create new variables that still make sense and not limited to the one available in csv files (FOR EXA...

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    We want to collect data with person sitting in front of camera and we want around 20 image per person with different backgrounds. Price for each image you sent is fixed(2 INR) but you can send as many images as you want and the payment will be based on number of images you send. The person's ethnicity should be outside indian subcontinent(india , pakistan , bangaldesh , nepal , srilanka , afg...

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    This is a case study when train and test dataset given for an e-commerce. I need to do proper analysis of dataset. I am not getting the proper approach so need help. I am attaching the files and screen shot of problem statement.

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    I have data set of 1000 participants sample size ( sociology ) that I need an EXPERIENCED statistical analyst to analyse ( i have a frame of type of analysis needed ) nothing too complicated apart of descriptive / t tests/regression ( linear/ logistic ) modeling of variables. I will also need reporting of the result of the analysis. PLEASE if you are not a statistical analyst specialist do not bi...

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    machine learning 4 days left

    network intrusion detection on nslkdd dataset (anomaly detection ) by using Lstm svm,random forest , auto encoder, xtreme gradient booster i want to test Train+/test+ Train 20 / test+ Train+/test21 Train20/test21 2 more splits after combining   TABLES 1. MEAN AVERAGE PRECISION 2 ACCURACY 3 PRECISION 4 RECALL 5 F1 SCORE 6 MEAN AVERAGE PRECISION RESULTS FRO...

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    - 1200 words report (+/- 10%) - An interpretation of certain numeric dataset - This project requires data analysis, diagrams and calculations. (ESSENTIAL) - Reference -Completed within 12 hours Further details of the project will be provided after.

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    Suppose you work as a data scientist in a sports network. They asked you if you can build a model that can predict a win or a loss of an English team in the Premier League given their current information including the opponent. The dataset (attached) in the excel file contains two sheets. First sheet contains the dataset, the second one contains the meta data (description of the variables). Upload...

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    Project description in attached PDF Payment will be on a Per/Photograph basis --- The goals for our project is to do image segmentation on images of meat. What we must first do is segment the loins, so that we have a dataset for our machine learning code. We hope that you can help with this by contributing some segmented images for this dataset. The software we will be using in order to complet...

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    Project Brief: To develop a system that creates a representation of the sensor data from UTS building 11 (available at [login to view URL]). Your system should allow interaction, exploration and sense-making with this representation. You should provide a number of parameters by which the representation may be customised. No particular format is expected, and novel or lateral representations are ...

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    i have an excel data of thousands of sensors whose indicators are changing against time and tabulated for 3 months and i want to use the change point detection package in R and embed it in python to generate a list/panda/excel output for each sensor detecting the exact trend change date and type of change is it increase(+1) or decrease(-1) standard deviation change is it increase( +1) or decreas...

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    For this project you will: need to complete all inside of jupyter notebook ##commenting allong the way, find the best and worst spots to invest here is the suggested imports (dont have to use all) import [login to view URL] as plt import numpy as np import pandas as pd import random import [login to view URL] as plt Source a dataset ---> Complete Formulate a hypothesis about the data Cle...

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    Hei and hej My family and I think about immigrating to Norway or Sweden to set up a small organic farm. To take a sound decision we would like to base it on geographical information, climatic forecasts in combination with agricultural knowledge. If you are interested in providing us with following information in form of a PostGIS database, we would appreciate you handing in an offer. Minimal req...

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    I am facing issue with concurrent user's while updating the dataset in mysql db, need a person who can fix this on immediate basis.

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    You are required to follow the steps below and hand in *.ipynb and *html versions of your Jupyter notebook. Import packages as follows: import [login to view URL] as plt import numpy as np import pandas as pd Download from [login to view URL] data on SPY, Apple (AAPL) and JP Morgan (JPM) between 2014-08-18 and 2019-08-15 Print the first five rows of SPY. Plot SPY’s adjusted close starti...

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    I have a data analysis task. open data source. [login to view URL] calculator i Need. via PN

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    It took forever to merge them because the datasets are too huge and innumerable. But if the quantity is fewer, the merging takes place super-fast, showing that the Python codes are done right. So obviously, the root of the problem is that the datasets are: Too Innumerable and Too Huge. Merge with Hadoop in AWS for more Instantaneous response expected. In addition, to run a short algo on the me...

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    Need non-machine learning python experts! Soon! I had a project of demonstrating Information retrieval models which includes tf-idf, query likelihood model and BM-25, in a random tweets dataset. Now I'm out of my mind in finishing my paper in coming up a way to efficiently evaluate the models. Ping me if you know evaluation metric:, Mean Average Precision,Mean Reciprocal Rank Average Precisi...

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    Looking for assistance analyzing a baseball dataset using SPSS. Specifically, looking for help interpreting ANOVA and post hoc results.

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    I need help with find out the data for this calculator [login to view URL] all Data is here inside. [login to view URL] Time 1 day. Dont bid if you are not able to do it.

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    A dataset with records of downtime for 8 major machinery in an Industrial Facility for over 2 years is provided. Details of the fields are as follows

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    Specs will be attached which is based on a dataset in excel or csv file, to then create visualizations and dashboards in Power Bi Only Freelancers with Microsoft power BI knowledge need apply only as no other programing tool will be entertained. Thanks

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    Implements K means algorithm to a dataset that contains 2-D points. A)Randomly pick the initial centers from the given samples to choose initial cluster center. Provide the finial coordinate of the centeriods and 2) the loss computed by the objective function. B) Pick the first center randomly; for the ii-th center (ii>1), choose a sample (among all possible samples) such that the average dist...

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    Hello Everyone, Thank you a lot for your bids. Only R experts, fluent English speakers with many reviews 4.8 stars+ will be considered. Step by step requirements and dataset will be sent in chat to the selected bidders Thank you a lot for your time!

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    Dataset From kaggle website And I have it Description I need to improving classification by classic decision tree Machine learning by using rough set And the accuracy of that improving must be more than 93% I need the algorithm of building that project with description to every statement and step

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    Hello Everyone, Thank you a lot for your bids. Only R experts, fluent English speakers with many reviews 4.8 stars+ will be considered. Step by step requirements and dataset will be sent in chat to the selected bidders Thank you a lot for your time!

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    I need an implementation in R of an ARDL method. The dataset are time-series (6 predictors and 1 target variable) of approximately 3000obs. The first goal is inference, so the model should try to estimate the relationship between the predictors and the target. The second goal is forecast, so after a 80-20 split on the dataset, I need an implementation of the same method in a forecasting scenario...

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    I have a yolo Darknet file generated from a custom, fairly small, dataset. I used LabelImg & [login to view URL] (they offer the ability to export in nearly any format, so this can easily change if need be) to generate it. There are TWO classes in this dataset. In my experimentation, 6000 batches in Google's colab on a tesla p100 took approximately 3 hours. I however have no idea what I&...

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    I want to get the raw database of the website analytics tools installed on my website. Its called matomo (previously piwik) [login to view URL] here are the datasets. Destination: bigquery

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    Apply if you have experience with Mask SSD Mobilenet and RCNN. Tasks : 1. Combine SSD MobileNet model with FCN/SegNet model to make an instance segmentation model like Mask SSD to handle occlusions while object detection. 2. Improve Mask SSD's accuracy and bring it as close as possible to Mask RCNN's accuracy 3. Improve SSD MobileNet's (object detection) accuracy and bring it as c...

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    You have to implement the k-means clustering and Fuzzy C-means clustering from scratch using the programming language of your choice (without using a toolbox from R, Matlab, Python or any other programming language, please make sure you attach your code in the folder!). Use the Euclidean distance for computing the distance between any two samples in the dataset. For implementing some of the princi...

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    I need help with analyzing a dataset and drawing detailed information for user engagement for a website.

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    This folder contains images of 3 products (Tata Salt, Maggi, iPhone) categorized into 3 folders for training, validation, and samples. Given the resource, you're supposed to create an Image Classifier that: 1. Trains on the training dataset 2. Runs validation on the validation dataset 3. Exports the h5 model file 4. Predicts the label.

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    Proposal report on Biometric-based human Identification intelligence 1. Identify appropriate intelligent system solutions for a range of computational intelligence tasks 2. Explain the concept of computational intelligence and its associated techniques and algorithms 3. Apply computational intelligence techniques to a range of tasks 4. Work collaboratively to develop an intelligent system Format...

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    I need a research and protoyping of the Topic Ensemble Learning ...The project needs to be in stages of progressive development with reserach in the start on the topic , where we find the research gaps , try to dig deep within the topic, find a dataset and prototype in the end

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    i have a small dataset ,need to clean it

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    We want a Scraper to build a dataset for Mumbai house prices from [login to view URL] and [login to view URL] to train a Machine Learning model for predicting house prices. The dataset should include basic attributes like carpet area, price/sqft , location coordinates etc.(the csv file with attribute headers that need to be scraped) will be provided.

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    We want a Scraper to build a dataset for Mumbai house prices from [login to view URL] and [login to view URL] to train a Machine Learning model for predicting house prices. The dataset should include basic attributes like carpet area, price/sqft , location coordinates etc.(the csv file with attribute headers that need to be scraped) will be provided.

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