Pycaret jobs

...identify which combinations work best. Technical skills required: - Knowledge of technical analysis, indicators etc - Proficiency with XGBoost, LightGBM for gradient boosting models - Optuna or Bayesian optimization for hyperparameter tuning - SHAP for model interpretability and feature importance - Monte Carlo simulations for robustness testing - VectorBT for backtesting and performance analysis - PyCaret for rapid ML prototyping and model comparison - MLFinLab for financial machine learning techniques (purging, embargo, combinatorial purged CV) - SkopeRules for interpretable rule extraction - Genetic programming for feature engineering and strategy evolution - Familiarity with StrategyQuant X concepts is a plus What I need from you: - Guidance on ML strategies and techniques...

I'm looking for a seasoned data scientist, with expert knowledge in scikit-learn, matplotlib, and jupyter notebooks. The primary goal is to develop a powerful notebook capable of calculating a range of metrics-- not only accuracy, precision, and recall, but also the ROC-AUC, Silhouette score, Davies-Bouldin Index, Calinski-Harabasz Index, Adjusted Rand...outlier detection - Calculating metrics like ROC-AUC, Silhouette score, Davies-Bouldin Index, etc. In addition to this, the notebook should present the results visually through scatter plots, confusion matrices, and histograms. Experience in data visualizations and clarity in presenting statistical data is key. This project requires a good grasp of statistical methodologies and proficiency in pycaret and scikit-learn for flaw...

As a successful business, I urgently require an able and experienced software developer with proficiency in Python, Django, React, and PostgreSQL. Key Requirements: - Can built on Django super fast - Expert in Python - Knows PostgreSQL - Knowledge of ML libraries is a big plus specially pycaret Please bid for hourly and provide any information that can support the above key requirements. This project has potential to turn into something long term. Two to three hours per day might be sufficient to start with. Daily catchups will be required.

I am looking for a website architect with experience integrating a data science/statistics site (Python and Pycaret models and visuals) using Node JS backend, React JS frontend and MongoDB (noSQL), AWS hosting. Current site development is in Node JS, React JS and MongoDB. Looking for architect to design how we can integrate Wordpress so that I can leverage Wordpress plugins and content engine for content, SEO, subscription mgmt, access mgmt, SEO, AI tools. Also interested in possibility of building entire site in Wordpress (including statistics database, prediction models in Python, custom design for homepage, custom design for database query pages and custom design for prediction model output pages). I'm mostly interested in data/site security and speed of data retrieval...

I am in need of assistance with setting up Pycaret for my data analysis project. The purpose of the setup is for model building and evaluation, as well as deployment and productionization. I am working with both structured and unstructured data. I have a list of specific algorithms in mind that I would like to use for this project. Ideal skills and experience for the job would include: - Experience with Pycaret and its setup process - Knowledge of various data analysis and machine learning algorithms - Ability to work with both structured and unstructured data sets - Experience with deployment and productionization of models.

I am looking for a talented freelancer to help me with a machine learning project utilizing Pycaret. The project involves usage of multiple types of data sets. This will require an in-depth analysis to determine clustering, descriptive statistics, and also regression models. the core objective is to provide an easy to use solution for our business users to turn existing business Data to actionable insights using AI/ML models without the technical complexity. the overall steps should cover : -Data Loading -Model building -Model Testing -Model Tuning -Graphical presentation delivery will be on two steps 1-As a start we will have a first step ( small project) by building one use case only as MVP 2- Here we can move to step2 to enrich the tool further, and the scope will be much big...

Build virtual environments on AWS Sagemaker Notebook Instances with libraries and Pycaret module. Note: virtual environments should persist between sessions and not be wiped off when a session is closed. Some helpful links: @haridada07/creating-persistent-python-kernels-for-sagemaker-63993138ae50 Delivery: 1 day Work environment: can connect on any meeting platform and give access to the console.