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Probability Theory and Support Vector Machines

$10-30 USD

Chiuso
Pubblicato più di 3 anni fa

$10-30 USD

Pagato al completamento
Quantify the dataset into probabilities and then classify it using the SVM implementation in scikit-learn. You are allowed to use any of the scikit functions. You will use the Glass dataset from the UCI Machine learning repository (https://archive.ics.uci.edu/ml/datasets/glass+identification (Links to an external site.)). The dataset consists of 214 training instances of different types of glasses. Please remember to provide text answers to the questions using text cells in the Colab notebook as well as writing the code.
Rif. progetto: 27934360

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11 proposte
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Attivo 3 anni fa

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11 freelance hanno fatto un'offerta media di $23 USD
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I can complete your task. I have more than 2 years experience in machine learning. Waiting for your good response.
$20 USD in 1 giorno
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Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, JAVA and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best wishes.
$20 USD in 7 giorni
4,9 (32 valutazioni)
5,6
5,6
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Hey! I am having 4+ years of Industry Experience in Machine Learning, Deep Learning,Natural Language Processing, and Computer Vision Applications. My Skills: OpenCV, TensorFlow, PyTorch, Keras,NLTK Supervised and Unsupervised Machine Learning Reinforcement Learning, Recommendation systems Message me to discuss more details
$27 USD in 7 giorni
4,8 (25 valutazioni)
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5,1
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Hello, I have been working as a Deep Learning Engineer for the last 3.5+ years. I developed AI/ML project and deployed them into production environments. Now I am helping clients to leverage machine learning to create innovative new products. I have direct experience in the following technologies/topics: - Python - Tensorflow, Keras, PyTorch - NLP: NER extraction, Clause extraction, text summarization, Documents classification - Computer Vision: Object detection, Classification, Localization, Segmentation, CNN, Faster-RCNN, YOLO, OpenCV - OCR: PDF to Text, Image to text -Web Scrapping and Crawlers: Scraping info from websites into CSV, Text, and PDF format - Docker, Google Cloud, and AWS based neural network training and deployment Please contact me so that we can discuss further. Thanks, Parag Patil
$30 USD in 1 giorno
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3,3
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Hi, I have +5 experience dealing with machine learning algorithms and worked on multiple projects in this field, Please contact me to discuss more. Have a nice day
$20 USD in 7 giorni
5,0 (4 valutazioni)
2,5
2,5
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Hi, I have 5 year industry experience in machine learning and currently am following MSc in AI.I have completed many machine learning projects. so this is very easy task for me. I am sure I can fulfill your requirements at a high level. Let's discuss more details about the project. Thanks and regards, Kalani
$30 USD in 1 giorno
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Over 7+ years of experience building large machine learning based systems at Fortune 500 Companies. Let me draft your requirements : 1) Download Glass Identification Data Set 2)Perform EDA ,and come up with relevant observations on it 3) Classify Glass into one of 7 classes based on probablities using SVM 4) All the code should be documented inside google colab.
$35 USD in 1 giorno
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Hello, I have good amount of experience in Machine Learning and Deep Learning algorithms implementation using Python. I have implemented various regression and classification models along with Object Detection models as well. I am willing to help you for free. Let me know if you are interested. Thanks
$10 USD in 3 giorni
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Hi , I am persue engineering in the Machine learning So I can do this task easily before this also I did more classification problems by using SVM and Logistic Regression.
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Bandiera: UNITED STATES
Santa Clara, United States
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Membro dal ott 28, 2020

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