Develop new ML algorithms from pre-built models

$30-250 AUD

Suljettu

Julkaistu

lähes 6 vuotta sitten

$30-250 AUD

Maksettu toimituksen yhteydessä

We're looking for a team of developers that can re-purpose existing ML and AI templates (written in Python) and create new models. You will be given access to our Github organisation where the expectation is make a steady stream of commits to generate a lively and active repo! In your cover letter, provide examples of AI or ML models that you've previously built.

Artificial Intelligence

Machine Learning (ML)

Python

Projektin tunnus (ID): 17051213

Tietoa projektista

13 ehdotukset

Etäprojekti

Aktiivinen 6 vuotta sitten

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13 freelancerit tarjoavat keskimäärin $233 AUD tätä projektia

@edecena75

Hi... I am a Python and Machine Learning specialist, certified by Freelancer. I fully understand your project and I am sure I can help you. Let's discuss details by chat.

$250 AUD 3 päivässä

5,0

(90 arvostelua)

6,5

@schoudhary1553

Hello, I can help with you in your project Develop new ML algorithms from pre-built models . I have more than 5 years of experience in Artificial Intelligence, Machine Learning, Python. We have worked on several similar projects before! We have worked on 300+ Projects. Please check the profile reviews. I can deliver your job with in your deadline. Please ping me for more discussion. I can assure the 100% job satisfaction. Thanks,

$250 AUD 3 päivässä

4,9

(34 arvostelua)

5,9

@maysamk19

Hello, I have extensive experience in python and machine/deep learning and would absolutely love to help you out on this project. I have a Masters in financial mathematics/engineering and my credentials are below: * Responsible for creating proprietary quantitative models and algorithmic trading strategies for long/short equity optimization models with specific risk and return parameters specified by the investor profile, utilizing machine/deep learning, along with Q reinforcement learning agents. •Created predictive vectorized/event-based machine learning models utilizing multivariate/logistic regression, lasso/ridge regression, linear/quadratic discriminant analysis, decision trees, K neighbors, Naive Bayes, random forest, support vector machine, Adaptiveboost, GradientBoost, and XGB. •Responsible for deep learning modeling using recurrent neural networks, Tensorflow, nltk, sentiment analyzer, Keras LSTM, and convolutional neural networks, in attempt to predict forecasts, and analyze error. •I also recently designed a proprietary machine/deep learning long/short intraday algorithm utilizing the Interactive Brokers API, IB_Insync python library. Would love to chat! Hope to speak soon. Best, Sam

$222 AUD 5 päivässä