You will get Machine-Learning & Deep Learning
Project details
This project involves developing a machine learning & deep learning model to predict outcomes based on historical data. The goal is to provide actionable insights by leveraging data-driven patterns. The project will include data collection, preprocessing, exploratory analysis, and model development using Python and popular libraries like scikit-learn, TensorFlow, HuggingFace and NLP libraries.
The machine learning model will be trained on a carefully selected dataset and optimized for accuracy. After evaluating the model's performance, it will be deployed for real-world use, offering reliable predictions for decision-making processes. Continuous monitoring will ensure the model remains effective over time.
The machine learning model will be trained on a carefully selected dataset and optimized for accuracy. After evaluating the model's performance, it will be deployed for real-world use, offering reliable predictions for decision-making processes. Continuous monitoring will ensure the model remains effective over time.
Machine Learning Tools
Apache Spark, Azure Machine Learning, BERT, ChatGPT, GPT-3, H2O, Keras, Microsoft Excel, MLflow, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, Sonnet, SQL, Tableau, TensorFlow, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 0 | 0 | 0 |
Number of Model Variations | 3 | 5 | 15 |
Number of Scenarios | 2 | 5 | 10 |
Number of Graphs/Charts | 5 | 10 | 15 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $50
Additional Model Variation
+$3
Additional Scenario
(+ 1 Day)
+$5
Additional Graph/Chart
+$3
Model Documentation
(+ 1 Day)
+$10
Source Code
(+ 1 Day)
+$20
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NN
Nelson N.
Dec 13, 2024
Python Scraping
ME
Mina E.
Nov 15, 2024
Data Analyst/Modeler Needed for Comprehensive Analysis Project
About Ekber
Data Scientist | Software Engineer | Python
67%
Job Success
Istanbul, Turkey - 10:08 pm local time
A seasoned freelancer specializing in data science, Python development, and software engineering. With experience dating back to 3, I've successfully contributed to various projects in the industry.
Data Science and Analytical Skills:
I possess a robust background in data mining, analytical modeling, and big data analysis. Leveraging statistical methods effectively, I extract meaningful insights from datasets. Proficient in Python libraries such as Pandas, NumPy, and SciPy, I excel in data manipulation and analysis.
Otherwise ML algorithms such as Unsupervised Learning, Supervised Learning, Regression and Classification algorithms, NLP, PCA, Recommendation Systems. I have already Deep Learning skills as ML, mostly focusing on NLP(Natural Language Processing) and LLM's (Large Language Models)
Python Development:
In my area of expertise in the Python language, I've worked on a range of projects, including web development, automation, and data science. Additionally, I have experience in maintaining and enhancing existing Python-based projects.
Software Engineering Abilities:
With extensive knowledge in software engineering, I can develop customized software solutions to meet client requirements and successfully complete projects. Familiar with Agile methodology, I am adept at effective communication within a team.
Why Choose Me?
Customer satisfaction-focused approach
Strong problem-solving and communication skills
Emphasis on project management and delivery continuity
Commitment to continuous learning and improvement
I'm here on Upwork to help bring your projects to life. I look forward to offering solutions tailored to your needs and taking your project to the next level. Feel free to reach out to me!
Steps for completing your project
After purchasing the project, send requirements so Ekber can start the project.
Delivery time starts when Ekber receives requirements from you.
Ekber works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Collect project goals, data sources, and preferred tools from the client.
Data Collection
Gather and clean the dataset for model training.