I will carry out your machine learning/data science project with python

0 vente

Proposé par fogangfokoa 4 ventes au total

Hi and Welcome! This service aims to provide you with a solution based on machine learning with Python.

Do you have a dataset and do you want --- to analyze, process, model and report it --- in order to extract knowledge (for decision making for example)? If so, then this service provides you a Machine Learning (ML) solution modeled on the CRoss Industry Standard Process for Data Mining (CRISP-DM). CRISP-DM has 6 steps:

(S1) Understand the problem. Understand the objectives and requirements of the project, select the technologies used; examine data, its properties such as data format and number of records or field identities.

(S2) Understanding data. Exploratory Data Analysis (EDA): data visualization, analyze graphs from data visualization and Hypothesis tests if necessary;

(S3) Prepare data. Clean and format data; feature selection; feature engineering and features transformation or normalization;

(S4) Modeling. Generate a test design, perform a spot-check then select one model to solve your ML problem. The selected model will be part of one of the following learning types:
--- Supervised learning: linear regression and its variants, logistic regression, lda, qda, svm, decision tree, boosting algorithm, neural networks;
--- Unsupervised learning: centroid-based clustering, upper clustering, density-based and distribution-based clustering;
--- Dimension reduction: pca, svd, lda, embedding technique

(S5) Evaluation. Score the chosen model using a appropriate metric to the problem. Then review (1)-(4);

(S6) Deployment. Produce a final report, plan monitoring and maintenance, make the models operational;

The solution will be delivered as a .py or jupyter notebook.
Depending on your needs, this service offers the following options:


**************************** Basic Formula (20 euros) *****************************
--- Debugging a python machine learning script
(S1) Understand the problem
(S2) Understanding data. Only data visualization. No graph analysis and no hypothesis tests


******************************* Option 1 (50 euros) ********************************
(S1) Understand the problem
(S2) Understanding data


******************************* Option 2 (60 euros) *******************************
(S1) Understand the problem
(S2) Understanding data
(S3) Prepare data


******************************* Option 3 ( 80 euros) ******************************
Add to Option (2) the steps (S4) and (S5)
(S4) Modeling.  Without the "model selection" part. One type of problem will be solved:
----- Regression problem or
----- Classification problem
(S5) Evaluation

******************************* Option 4 ( 100 euros) *******************************
Add to Option (2) the steps (S4) and (S5)
(S4) Modeling. With the "model selection" part. One type of problem will be solved:
----- Regression problem or
----- Classification problem
(S5) Evaluation


******************************* Option 5 ( 100 euros) *******************************
Add to Option (3) or Option (4) the step (S6)
(S6) Deployment. Write a final report.


Thank you.

I will carry out your machine learning/data science project with python

  • 20,00 €

Options supplémentaires

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À propos du vendeur

fogangfokoa Il y a 4 jours

“Hi, I am a PhD student in Machine Learning and Optimization. My research focuses on optimization methods (nonlinear convex and non-convex optimization in particular) of models applied to NLP, more precisely on languages with low-resource corpora.

I have been practicing data science for more than 2 years. I owe my experience to the data science and MLOPs projects that I had to lead. These projects aim to solve various and differing real-life problems (from images, to detect if a plant is sick; sentiment analysis; protein function prediction; landslide prevention thanks to satellite imagery; credit scoring; etc.), addressing thematics such as computer vision, bioinformatics, natural language processing and speech recognition .

I have know-how on how machine learning algorithms (linear regression, SVM, decision tree, boosting, HMM, etc.) and deep learning (embedding, CNN, seq2seq, LSTM, transformers and transformers-based models) work, how to configure them, modify them according to the problems faced.”

  • Temps de réponse moy. —
  • Commande en cours 0
  • Ventes au total 4
  • Vendeur depuis Août 2022
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