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    1,195 xgboost classifier công việc được tìm thấy, giá USD
    age classifier 4 ngày left

    need to generate code for very small project, budget is 50/-Rs only

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    Help in choosing the best machine learning classifier for buy and sell signals, retrieved from data analytics.

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    Create a one-page app to upload a photo from a file or grab from a webcam, and then tag the photo with a drop down list. if the category isn't in the drop down list, provide an ability to add an item to the list, which is then standardized going forward. Capture user email address when upload. Check a password a well.

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    machine learning 3 ngày 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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    I want to get the solution of my assignments. A few of the questions are: 1.a) Compare and contrast: Logistic Regression and KNN classifier b) In Knn classifier , why k is chosen as odd number c) When all the x’s are measured on the same scale, Knn performs better. Why? 2. In fitting a model to classify prospects as purchasers or nonpurchasers, a certain ecommerce company drew the training ...

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    MACHINE LEARNING PROJECT Đã kết thúc left

    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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    I need an expert can help to implement Naive Bayes Classifier and K-NN by using python. Because I don't have enough time. the deadline I hope if it less than 10 hours, else I can't accept more than that time.

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    Aim of the system is to identify the speaker in a new voice sample comparing with existing samples stored in database using Machine Learning in Python. The project will involve fwg steps 1. Import and convert given voice samples to .wav file. 2. Extract audio features using MFCC or LPC or any feature extraction technique. 3. Train a classifier or build a neural network for prediction of the ...

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    I have a brand-new Dell XPS 8940 with a GPU and I installed Anaconda on it. I was able to run xgboost on it (using tree_method='gpu_hist' ) on a large dataframe. I then installed bayesian-optimization to help me optimize the xgboost hyperparameters. I was able to optimize the hyperparameters on a small version of my dataframe but I received the following error when I tried to optimize on...

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    Implementing Naive Bayes Đã kết thúc left

    Implement Naive Bayes classifier on abalone dataset with scikit-learn etc. Dataset and instructions will be given by me. The aim of the dataset is to predict the age of abalone from physical measurements. Originally it is a regression problem in which the output is age in years. However, we will use it as a classification problem. The age value is discretized as young, middle-aged, and old. The da...

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    I have a brand-new Dell XPS 8940 with a GPU and I am having difficulty installing py-xgboost-gpu and tensorflow-gpu in Anaconda with Windows 10. I had them installed a week ago but I kept getting the following error (oserror: [winerror -529697949] windows error 0xe06d7363) when I tried to optimize the xgboost hyperparameters using the bayesian-optimization library. Since then, I have re-installe...

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    Vision project - C# Emgu HED Đã kết thúc left

    The task is to implement HED (Holistically-Nested Edge Detection) not in python, but in Emgu C#. So far, we've only found ways to use HED from python, but we need to be able to use HED directly from Emgu C#. We're looking for an HED wrapper we can use with C# Emgu Images (which are wrapped OpenCV Mats), that does not involve python. We're using python now in a client/server arra...

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    LULC image creation Đã kết thúc left

    I need you to develop some software for me. I would like this software to be developed using Python. I have an image classifier for LULC and want to generate a . tif image of it. Anyone with experience in this area can bid.

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    word embeddings Đã kết thúc left

    I want to use pre trained word embeddings GloVe as a feature extraction module and after that run machine learning classifier

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    23052_Java Developers Needed Đã kết thúc left

    Construction of Ensemble Classifier

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    ML Python work Đã kết thúc left

    I am looking for someone to build me a template in Python which I then can work from. Instead of me using several hours to make it myself, its much more efficient if someone with more experience than me do it, and I could then modify the code afterwards if I need to change something. You need specific experience in ML and the different things described below. PLEASE do not bid for this unless you...

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    Am nevoie sa fac exact ce s-a facut in link-ul de mai jos pentru un proiect de la facultate [đăng nhập để xem URL] [đăng nhập để xem URL] (Predicting the Winning Team with machine learning). Steps¶ We will clean our dataset Split it into training and testing data (12 features & 1 target (winning team (Home/Away/Draw)) Train 3 different classifiers on the data -Logistic Regression -Suppor...

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    I have an XGboost classification model in place with around 100 features. Currently, model accuracy is around 90%, need to improve it above 95%. The selected person will also be required to do some root cause analysis to improve model accuracy. And also the model/data is in the AWS environment, so you should be familiar with AWS. More information will be shared later on once we get on with the pro...

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    Plant Classifier Đã kết thúc left

    Hello All, Looking for solution in which we can detect plants growth,plant counts etc. Will discuss more on chat. Thanks

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    For GIVEN DATASETS: Task 2. Implementing dropout For this task, you should implement inverted dropout. Forward and backward passes should be implemented here. Note: Since the test performance is critical, it is also preferable to leaving the forward pass unchanged at test time. Therefore, in most implementations inverted dropout is employed to overcome the undesirable property of the original dr...

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    With two given datasets I need to resolve 5 tasks using Jupyter Notebook 1. forward and backward passes for linear layers and ReLU, leaky ReLU, and Sigmoid activations 2. implement inverted dropout. Forward and backward passes should be implemented here 3. Implementing softmax classifier (softmax loss and gradients. Explain numerical issues when calculating the softmax function) 4. Implementing f...

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    Let us assume one patient enters the system at t=0. Starting from t =1, the system decides whether or not to raise an alarm (to treat the patient). The system does that every 1 minute up until t=30. The alarm is raised based on a risk score calculated by a classifier. The system terminates as soon as the patient is classified as positive or reaches t=30. a_t is assumed to be the action taken at ti...

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    Let us assume one patient enters the system at t=0. Starting from t =1, the system decides whether or not to raise an alarm (to treat the patient). The system does that every 1 minute up until t=30. The alarm is raised based on a risk score calculated by a classifier. The system terminates as soon as the patient is classified as positive or reaches t=30. a_t is assumed to be the action taken at ti...

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    Trophy icon Random Forest time series forecasting Đã kết thúc left

    Hi there, Complete the rf method in the attached Jupyter notebook to have accurate forecasts made using an RF regressor. (The Holt method is only there for comparing.) The first decent looking entry wins! If you are finished with this project, feel free to have a look at my other one: https://www.freelancer.com/contest/XGBoost-Time-Series-Forecasting-1805639

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    Trophy icon XGBoost Time Series Forecasting Đã kết thúc left

    Hi there, Complete the xgb method in the attached Jupyter notebook to have accurate forecasts made using the XGBoost library. (The Holt method is only there for comparing.) I suggest using the BoxCox transformation on the data as it usually improves accuracy. The first decent looking entry wins! If you are finished with this project, feel free to have a look at my other one: https://www.fr...

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    I want a simple image classification by using algorithm random forest and rotation forest classifier I have attached an instruction word documents and I am unable to send the image so for that, I will require personal email id to send the remaining documents I need the output asap willing to pay extra money if u can do it soon Machine Learning Techniques Deep Learning Computer Vision Knowledge ...

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    I need to implement an algorithm on R programming on a german used car dataset to predict resale value of the make and model of the car. XG Boost should e used this is like a mini thing if this is implemented there are other tasks will be told after completion of this.

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    Tutor for online Student Đã kết thúc left

    I need help with understanding python. I am doing online course but just not getting the right help. Would love one on one screen shares. Im currently struggling with a training a image classifier. I have overfitted the entire thing

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    OpenCV Developer Đã kết thúc left

    Using the OpenCV library: Combine facial recognition algorithms with object tracking algorithms, for use in a live video feed. Facial recongnition will be used for 2-4 faces at any time. After a predetermined face is indentified, the face/head movements are tracked via object tracking algorithms. When said face is out of the video feed, this signals to call facial recognition to scan for a pre...

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    Using the OpenCV library: Combine facial recognition algorithms with object tracking algorithms, for use in a live video feed. Facial recongnition will be used for 2-4 faces at any time. After a predetermined face is indentified, the face/head movements are tracked via object tracking algorithms. When said face is out of the video feed, this signals to call facial recognition to scan for a pre...

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    Small task to create a program for Logistic regression classifier.

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    This advanced python project of detecting fake news deals with fake and real news. Using sklearn, we build a TfidfVectorizer on our dataset. Then, we initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares. A king of yellow journalism, fake news is false information and hoaxes spread through social media ...

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    I need you to develop some software for me. I would like this software to be developed for Windows using Python. I have a dataset composed of 2 classes with MRI samples of different patients. In the first class there are brain MRIs of patient with Alzheimer and in the other there are brain MRIs of cognitively normal patients. Every MRI sample is a sequence of pictures, like a video. That means th...

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    I have a dataset composed of 2 classes with MRI samples of different patients. In the first class there are brain MRIs of patient with Alzheimer and in the other there are brain MRIs of cognitively normal patients. Every MRI sample is a sequence of pictures, like a video. That means that a MRI sample is a tridimensional matrix. The dataset is already preprocessed, in particular I've extracte...

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    Write a naive bayes classifier and a TFIDF

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    In this project, you need to design two classifiers: a perceptron classifier and a naive Bayes classifier. You will test your classifiers on two image data sets: a set of scanned handwritten digit images and a set of face images in which edges have already been detected. Even with simple features, your classifiers will be able to do quite well on these tasks when given enough training data. The ...

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    Detect DDoS attack Đã kết thúc left

    Python code for effective early DDoS attack detection and prevention using Machine Learning. Dataset to be used : cicddos2019 * Random forest classifier or SVM 1. Data Pre-Processing and Feature Selection 2. Training and Testing (with 100% of cicddos2019) 3. Results (min of 97% detection rate) 4. Visualisation the attack in 3D. NB; each step on the above(1 to 4) MUST be clearly explained an...

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    Classification Project Đã kết thúc left

    A naive Bayes classifier, A perceptron classifier

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    Looking for Python Expert Đã kết thúc left

    I have some problem with xgboost. [đăng nhập để xem URL] This is my code. TypeError: object.__init__() takes exactly one argument (the instance to initialize) I have split my data into x_train and y_train, x_test and y_test. Now im training on x_train and y_train. When i run the .fit cell, I got this error This is error : [đăng nhập để xem URL]

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    Predict stock price using time series analysis and machine learning algorithms ( ie. - Linear Regression, Logistic Regression, Decision Trees, Ensemble Models, Random Forest, XGBoost, Neural Network, ARIMA, LSTM ) We need 1 week of the forecast of any stock (for the students who is learning to trade) For example - the current date is 1st of August then based on previous trends of the stock and pr...

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    Data Description: You are provided with a dataset of images of plant seedlings at various stages of grown. Each image has a filename that is its unique id. The dataset comprises 12 plant species. The goal of the project is to create a classifier capable of determining a plant's species from a photo.

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    Hello, "Alone we go faster, together we go further ..." Here is the sentence that sums up the reason for this job. Recently I developed an NLP + Machine Learning model on PYTHON + UIPATH which classified candidates' CVs. The model used was the random forest classifier. I am very satisfied with the results. Building on this success, I want to build this use case on a Web applic...

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    It uses a simple Markov chain model based on a movie script. It is not completed, but currently successfully produces a unigram, bigram, and trigram model. It still need to implement a technique to generate new sentences successfully (one currently in place needs to be fixed) and then add a navies Bayes classifier to distinguish sentences from the original script and a new one (which both can be p...

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    Looking for Python Expert Đã kết thúc left

    i need that function to output the test auc score as well [đăng nhập để xem URL]

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    Build a CNN image classifier Đã kết thúc left

    Train a CNN using tensorflow for a muticlass classification of brain tumor.

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    Hi I need a python script (Linux based) to retrain the deep learning model. It is based on Pytorch. You don't need to train it. Just write the script and guide me on how to add classifier and other info which I need for re-training it. I will give you the pretrained model info when we talk. You most probably need to work on my private Github repo. I need it to be done in 2-3 days. I am planni...

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    Rapiedminer help Đã kết thúc left

    You will be working on a real dataset about SPAM emails. This dataset consists of the frequency of different words used in the emails. Each row represents one email. The last attribute “is_spam” represents whether the email is a SPAM email or not. 1. Import the data from [đăng nhập để xem URL] file into RapidMiner. 2. Measure the accuracy of Decision Tree without any data pre-processi...

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    Guidelines: Coursework 1 1. You have been retained as a data scientist and suppose you have collected a dataset of already-classified instances and you must build a classifier. Consider the following type of classifiers • Naïve Bayes • K-nearest neighbour [đăng nhập để xem URL] will you know how good your classifier is? 2. Task 1 - Dataset selection and evaluation: Select a dataset ...

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    The goal is to build a classifier that can classify the tickets by analyzing text. Pre-Processing, Data Visualization and EDA ● Exploring the given Data files ● Understanding the structure of data ● Missing points in data ● Finding inconsistencies in the data ● Visualizing different patterns ● Visualizing different text features ● Dealing with missing values ● Text preprocessing ● Creating word ...

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    We would like to hire an AI programmer to join our team and work alongside us. We are needing this person to be very acquainted with Tensorflow and XGBoost and Deep Q Learning. We develop in node.js and need our models to be able to load and use in node.js or can run in Python and send via localhost websocket to receive and send prediction. We need someone who is familiar with writing Deep Q L...

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